Data Scientist jobs at J.P. Morgan - 371 jobs

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Data is at the heart of everything we do-from modeling and strategy development to production monitoring and compliance. As we expand our data-driven investment initiatives, we are seeking a Technical Lead in Data Science to guide the design, implementation, and evolution of our analytical systems and mentor a growing team of data scientists. As a Technical Lead - Data Science, you will provide technical direction and management for a team of data scientists working on high-impact problems across trading and research systems. You will be responsible for shaping analytical frameworks, ensuring methodological rigor, and delivering insights that inform business and research decisions. You will collaborate with stakeholders in engineering, research, and leadership while driving innovation and excellence in our data science practice.Responsibilities Collaborate with Technical Product Owners in Research and Engineering to define priorities, scope solutions, and deliver actionable insights to stakeholders. Own investigations of complex production behaviors and design robust methods for identifying, analyzing, and communicating system anomalies. Mentor and manage junior and mid-level data scientists; provide architectural oversight for data projects. Serve as a technical authority within the data science function, set standards for data quality, statistical rigor, and reproducibility. Lead the design, development, and deployment of analytical pipelines to monitor and interpret production behavior across trading and research systems, ensuring its correctness. Champion best practices in data governance, tooling, and collaborative development (CI/CD, version control, code reviews). Drive continual growth and learning within the team by onboarding new Data Scientists, growing teams, and fostering a culture of curiosity, collaboration, and applied experimentation. Requirements Master's degree or higher in a quantitative, technical, or analytical field such as Data Science, Statistics, Computer Science, Engineering, Finance, or an MBA with strong analytical training. 3+ years of experience managing data scientists, including responsibility for performance development, technical direction, and project execution. Demonstrated ability to lead cross-functional data initiatives, translate business objectives into analytical goals, and ensure timely delivery. Strong understanding of data science fundamentals, including statistical analysis, data preparation, root cause investigation, and the proven ability to guide others' work in these areas. Familiarity with data tooling and workflows (e.g., SQL, Pandas, R, Airflow), with enough fluency to review and support technical contributors effectively. Basic software development skills and experience with bash, linux/unix, and git Experience communicating complex findings to executive and technical stakeholders, including presenting insights, tradeoffs, and recommendations. Track record of establishing scalable methodologies, driving technical standards, and fostering collaboration in fast-paced, analytically rigorous environments. Preferred Experience building or growing high-performing data science teams in production-aware or high-stakes settings. Exposure to financial markets, trading systems, or quantitative research environments. Familiarity with production monitoring systems, data quality pipelines, or analytics platform development. 7+ years of experience managing data scientists. Experience managing a large team or multiple teams. CompensationThe base salary range for this position is $195,000 to $225,000 in the location(s) of this posting. Individual salaries are determined by a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geographic location. Base salary does not include other forms of total compensation, such as bonus compensation and other benefits. Our benefits package includes medical, dental, and vision coverage, as well as life and AD&D insurance, 20 days of paid time off, nine sick days, and a 401(k) plan with a company match. “Friends of Voleon” Candidate Referral ProgramIf you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms, and conditions, please review the Voleon Referral Bonus Program. Equal Opportunity Employer The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

Description AmeriSave Mortgage Corporation is a leading fintech mortgage lender committed to transforming the home financing experience through data-driven innovation. We are building a world-class analytics organization to power smarter decisions across marketing, operations, and pricing. Role OverviewWe are seeking a highly skilled and strategic Principal Data Scientist to lead high-impact, hands-on initiatives across marketing analytics, workforce planning, lead routing, and pricing sensitivity. This is an individual contributor role ideal for someone who thrives on solving complex problems and delivering measurable business outcomes through advanced analytics, optimization, and modeling.Responsibilities:Marketing Analytics Build and deploy predictive models for lead conversion, customer lifetime value, and marketing ROI. Design and analyze experiments to evaluate campaign performance and optimize spend. Develop attribution frameworks and incrementality testing to guide marketing strategy. Workforce Planning & Optimization Design intelligent scheduling systems that align staffing with demand across mortgage and call center operations. Apply constraint-based optimization, linear/mixed-integer programming, and fatigue modeling to maximize productivity and SLA adherence. Integrate with workforce management systems to automate and enhance planning processes. Lead Routing & Pricing Sensitivity Develop machine learning models to optimize lead routing based on agent performance, availability, and customer profiles. Analyze pricing elasticity and customer sensitivity to rate changes across segments and channels. - Simulate pricing scenarios and recommend adjustments in collaboration with pricing and finance teams. Cross-Functional Collaboration Partner with stakeholders across Marketing, Sales, Operations, and Finance to translate business needs into analytical solutions. Present findings and recommendations to senior leadership in a clear, actionable manner. Qualifications: Master's or PhD in Data Science, Statistics, Operations Research, Computer Science, or a related field. 6+ years of experience in applied data science roles, preferably in high-volume, customer-facing environments. Strong proficiency in R, Python, SQL, and Power-BI Experience working with workforce management systems and call center focused organizations Demonstrated success in marketing analytics, workforce optimization, and pricing strategy. Experience working with credit bureau data **Please note that the compensation and benefit information that follows is a good faith estimate for this position only and is provided pursuant to applicable state and local laws on pay transparency. It is estimated based on what a successful applicant in the relevant state might be paid. ** Compensation The annual compensation for this position generally ranges between $130,000 - $200,000. Benefits · 401(k) · Dental insurance · Disability insurance · Employee discounts · Health insurance · Life insurance · Paid time off · 12 paid holidays per year · Paid training · Referral program · Vision insurance Supplemental pay types: · Referral bonuses AmeriSave is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. California Consumer Privacy Act Disclosure Acknowledgment Employment Applicants, New Hires, and Employees Residing in California AmeriSave Mortgage Corporation's Privacy Policy Statement (“Policy”) can be reviewed here: ******************************** AmeriSave Mortgage Corporation's California Consumer Privacy Act (“CCPA”) Recruitment Disclosure can be reviewed here: ****************************************************** When AmeriSave's Human Resources Department makes future requests for personal information, the same Policy is applicable. By applying, you understand this acknowledgment covers current and future personal information requests. You also acknowledge the business purpose of the personal information collected and that future requests may occur while applying for a position at AmeriSave and/or during employment, if applicable.

Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future. Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more. The Voleon Group is forming a new team to help advance our data-driven investment initiatives. As a Data Scientist, you will be responsible for harvesting insights from a complex array of data. Your role will involve data curation, analysis, interpretation, visualization, and communication of your findings to members of the research staff and executive leadership. This role is a means to make a difference: as a machine learning company, data insights are essential to our business. Responsibilities Design and implement systems to ensure data correctness and monitor data health in data stores and live feeds Proactively identify abnormal production behavior and communicate them clearly to relevant stakeholders Perform extemporaneous analyses on research and production trading systems with leadership Harness financial expertise and statistical analysis to gain actionable insights into our production trading and research systems Design and implement analysis pipelines that automate those analyses found to be valuable for ongoing monitoring Requirements 1+ years of applied end-to-end industry experience, including internships working with complex datasets, including curation, querying, aggregation, exploratory data analysis, and visualization Experience using statistical methods to analyze data, identify patterns, conduct root cause analysis, discover insights, and recommend solutions Ability to frame and answer questions mathematically Ability to infer useful forward-looking directions from results of retrospective analysis Fluency in managing, processing, and visualizing tabular data using a combination of SQL, Pandas, and R Basic software development skills and experience with bash, linux/unix, and git Ability to refine requirements from ambiguous requests to produce reports demonstrating excellence in communication Bachelor's degree in a quantitative discipline (statistics, biostatistics, data science, computer science, or a related field) Preferred Master's degree in a quantitative discipline Prior industry experience or displayed interest in finance, such as related academic projects, coursework in financial engineering, or industry internships Experience developing in a production-facing environment and familiarity with standard concepts and tooling, e.g., CI/CD, git, Airflow CompensationThe base salary range for this position is $150,000 to $190,000 in the location(s) of this posting. Individual salaries are determined through a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geography. Base salary does not include other forms of total compensation, such as bonus compensation and other benefits. Our benefits package includes medical, dental, and vision coverage, life and AD&D insurance, 20 days of paid time off, 9 sick days, and a 401(k) plan with a company match. “Friends of Voleon” Candidate Referral ProgramIf you have a great candidate in mind for this role and would like to have the potential to earn $7,500 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms, and conditions, please make sure to review the Voleon Referral Bonus Program. Equal Opportunity EmployerThe Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law. #LI-MD1

Economist - UZ07BE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. Reporting to the Head of The Global Insights Center, the Data Scientist Economist will be responsible for leveraging large internal and external data sets to create new economic indicators, trackers, and analytical tools to decipher macro and micro economic trends that are of relevance to the insurance sector. The candidate will conduct research on the US economy, and at times the global economy. The candidate will utilize sources of large data sets and build complex models to develop trends around these data points. This will include the creation of bespoke economic indicators that help assess and articulate economic trends at the national, state, and local level. These data sets and the output indicators and trends will be used to assess business risk in a manner that is relevant to insurance sector outcomes. The output will be used to provide risk advisory services for the firm's clients. Ideally, the candidate will have experience or knowledge with building and using complex econometric and related models. They will have strong knowledge of public economic data sources, and experience working with large sets of noneconomic data. They will have experience building bespoke indicators using a mix of data sources and often derive creative methods to create new economic indicators. The ideal candidate will be an expert in data science, using large data, modeling, and economics. The candidate will also have knowledge of artificial intelligence tools and how they leverage applications to scale up the delivery of their analysis and modeling. The candidate will work closely with, and support, the Head of the Global Insights Center to ensure that the output of their research and output aligns with the team and organization's goals and strategies. The candidate will also interface with the firm's leadership and underwriting units across the enterprise. The purpose will be to explain economic data and insights at the national and local level to help drive the firm's strategy and underwriting decisions. The candidate will contribute to the Insights Center various research publications, which will be distributed both internally and externally. In addition, the candidate will determine new avenues of conducting research, generating content, and building models that can further the firm's overall goals and initiatives. Responsibilities: + Develop bespoke economic indicators identifying unique trends and outcomes at the national, state, and local level broken out by industry. + Create information and analytics that can be used by internal and external stakeholders to identify business trends and risks. + Utilize creative methods to create a stronger understanding of economic risk, and its implications for industries/businesses in the US. + Correlate the findings to implications for the insurance sector. + Access publicly available economic data at the national, state, and local level and overlay with other noneconomic internally available data sets. + Create methods and systems to integrate and curate the various data sets from their sources. + Work with internal data engineering partners to source appropriate data. + Build models to create localized trends and the bespoke economic indicators. + Create presentations and determine unique new methods of displaying the data findings. + Develop views on the national, state, and local economies. + Ascertain new methods of injecting findings into the firm's operations, strategy, underwriting, and financial planning. + Join the team's leadership in meeting with clients to present findings and outlooks. + Develop presentations and briefings that can be utilized by the firm's external partners. + Contribute to the Global Insights Center's external research publications. + Prepare white papers outlining medium term views on key aspects of the US economy. Candidate Profile: + Ten plus years of relevant work experience as a data scientist or data engineer with a very strong knowledge of economics and quantitative techniques. + Candidates must be authorized to work in the US without company sponsorship + Experience turning large data sets into economic indicators + Experience at a financial institution, fintech firm, consulting firm, data science or data engineering firm, rating agency, or large corporation. + Strong understanding of the US economy. + Knowledge of building complex models. + Effective communication and writing skills to further research publications. + Experience briefing senior executives on complex topics. + Strong process management discipline. Establishes priorities, anticipates problems, determines completion dates, knows and communicates the status of assignments; manages time effectively; uses the services of others effectively. + Team player with a strong collaborative orientation; ability to build strong relationships across an organization. + Entrepreneurial and creative focus to determine new work streams, initiatives, and deliverables that could be of value to internal parties and external clients. + Ability to deal with ambiguity in a matrixed organization; ability to guide, influence and navigate effectively with different constituencies in achieving company goals. + Excellent written and verbal communications skills. + Degree in computer science, data science, math, or economics is preferred. This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our listed office locations will have the expectation of working in an office three days a week (Tuesday through Thursday). Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $140,800 - $211,200 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us (************************************* | Our Culture (******************************************************* | What It's Like to Work Here (************************************************** | Perks & Benefits (********************************************* Every day, a day to do right. Showing up for people isn't just what we do. It's who we are - and have been for more than 200 years. We're devoted to finding innovative ways to serve our customers, communities and employees-continually asking ourselves what more we can do. Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable? That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined. And while how we contribute looks different for each of us, it's these values that drive all of us to do more and to do better every day. About Us (************************************* Our Culture What It's Like to Work Here (************************************************** Perks & Benefits Legal Notice (***************************************** Accessibility Statement Producer Compensation (************************************************** EEO Privacy Policy (************************************************** California Privacy Policy Your California Privacy Choices (****************************************************** International Privacy Policy Canadian Privacy Policy (**************************************************** Unincorporated Areas of LA County, CA (Applicant Information) MA Applicant Notice (******************************************** Hartford India Prospective Personnel Privacy Notice

Economist - UZ07BE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. Reporting to the Head of The Global Insights Center, the Data Scientist Economist will be responsible for leveraging large internal and external data sets to create new economic indicators, trackers, and analytical tools to decipher macro and micro economic trends that are of relevance to the insurance sector. The candidate will conduct research on the US economy, and at times the global economy. The candidate will utilize sources of large data sets and build complex models to develop trends around these data points. This will include the creation of bespoke economic indicators that help assess and articulate economic trends at the national, state, and local level. These data sets and the output indicators and trends will be used to assess business risk in a manner that is relevant to insurance sector outcomes. The output will be used to provide risk advisory services for the firm's clients. Ideally, the candidate will have experience or knowledge with building and using complex econometric and related models. They will have strong knowledge of public economic data sources, and experience working with large sets of noneconomic data. They will have experience building bespoke indicators using a mix of data sources and often derive creative methods to create new economic indicators. The ideal candidate will be an expert in data science, using large data, modeling, and economics. The candidate will also have knowledge of artificial intelligence tools and how they leverage applications to scale up the delivery of their analysis and modeling. The candidate will work closely with, and support, the Head of the Global Insights Center to ensure that the output of their research and output aligns with the team and organization's goals and strategies. The candidate will also interface with the firm's leadership and underwriting units across the enterprise. The purpose will be to explain economic data and insights at the national and local level to help drive the firm's strategy and underwriting decisions. The candidate will contribute to the Insights Center various research publications, which will be distributed both internally and externally. In addition, the candidate will determine new avenues of conducting research, generating content, and building models that can further the firm's overall goals and initiatives. Responsibilities: * Develop bespoke economic indicators identifying unique trends and outcomes at the national, state, and local level broken out by industry. * Create information and analytics that can be used by internal and external stakeholders to identify business trends and risks. * Utilize creative methods to create a stronger understanding of economic risk, and its implications for industries/businesses in the US. * Correlate the findings to implications for the insurance sector. * Access publicly available economic data at the national, state, and local level and overlay with other noneconomic internally available data sets. * Create methods and systems to integrate and curate the various data sets from their sources. * Work with internal data engineering partners to source appropriate data. * Build models to create localized trends and the bespoke economic indicators. * Create presentations and determine unique new methods of displaying the data findings. * Develop views on the national, state, and local economies. * Ascertain new methods of injecting findings into the firm's operations, strategy, underwriting, and financial planning. * Join the team's leadership in meeting with clients to present findings and outlooks. * Develop presentations and briefings that can be utilized by the firm's external partners. * Contribute to the Global Insights Center's external research publications. * Prepare white papers outlining medium term views on key aspects of the US economy. Candidate Profile: * Ten plus years of relevant work experience as a data scientist or data engineer with a very strong knowledge of economics and quantitative techniques. * Candidates must be authorized to work in the US without company sponsorship * Experience turning large data sets into economic indicators * Experience at a financial institution, fintech firm, consulting firm, data science or data engineering firm, rating agency, or large corporation. * Strong understanding of the US economy. * Knowledge of building complex models. * Effective communication and writing skills to further research publications. * Experience briefing senior executives on complex topics. * Strong process management discipline. Establishes priorities, anticipates problems, determines completion dates, knows and communicates the status of assignments; manages time effectively; uses the services of others effectively. * Team player with a strong collaborative orientation; ability to build strong relationships across an organization. * Entrepreneurial and creative focus to determine new work streams, initiatives, and deliverables that could be of value to internal parties and external clients. * Ability to deal with ambiguity in a matrixed organization; ability to guide, influence and navigate effectively with different constituencies in achieving company goals. * Excellent written and verbal communications skills. * Degree in computer science, data science, math, or economics is preferred. This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our listed office locations will have the expectation of working in an office three days a week (Tuesday through Thursday). Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $140,800 - $211,200 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

Economist - UZ07BE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. Reporting to the Head of The Global Insights Center, the Data Scientist Economist will be responsible for leveraging large internal and external data sets to create new economic indicators, trackers, and analytical tools to decipher macro and micro economic trends that are of relevance to the insurance sector. The candidate will conduct research on the US economy, and at times the global economy. The candidate will utilize sources of large data sets and build complex models to develop trends around these data points. This will include the creation of bespoke economic indicators that help assess and articulate economic trends at the national, state, and local level. These data sets and the output indicators and trends will be used to assess business risk in a manner that is relevant to insurance sector outcomes. The output will be used to provide risk advisory services for the firm's clients. Ideally, the candidate will have experience or knowledge with building and using complex econometric and related models. They will have strong knowledge of public economic data sources, and experience working with large sets of noneconomic data. They will have experience building bespoke indicators using a mix of data sources and often derive creative methods to create new economic indicators. The ideal candidate will be an expert in data science, using large data, modeling, and economics. The candidate will also have knowledge of artificial intelligence tools and how they leverage applications to scale up the delivery of their analysis and modeling. The candidate will work closely with, and support, the Head of the Global Insights Center to ensure that the output of their research and output aligns with the team and organization's goals and strategies. The candidate will also interface with the firm's leadership and underwriting units across the enterprise. The purpose will be to explain economic data and insights at the national and local level to help drive the firm's strategy and underwriting decisions. The candidate will contribute to the Insights Center various research publications, which will be distributed both internally and externally. In addition, the candidate will determine new avenues of conducting research, generating content, and building models that can further the firm's overall goals and initiatives. Responsibilities: + Develop bespoke economic indicators identifying unique trends and outcomes at the national, state, and local level broken out by industry. + Create information and analytics that can be used by internal and external stakeholders to identify business trends and risks. + Utilize creative methods to create a stronger understanding of economic risk, and its implications for industries/businesses in the US. + Correlate the findings to implications for the insurance sector. + Access publicly available economic data at the national, state, and local level and overlay with other noneconomic internally available data sets. + Create methods and systems to integrate and curate the various data sets from their sources. + Work with internal data engineering partners to source appropriate data. + Build models to create localized trends and the bespoke economic indicators. + Create presentations and determine unique new methods of displaying the data findings. + Develop views on the national, state, and local economies. + Ascertain new methods of injecting findings into the firm's operations, strategy, underwriting, and financial planning. + Join the team's leadership in meeting with clients to present findings and outlooks. + Develop presentations and briefings that can be utilized by the firm's external partners. + Contribute to the Global Insights Center's external research publications. + Prepare white papers outlining medium term views on key aspects of the US economy. Candidate Profile: + Ten plus years of relevant work experience as a data scientist or data engineer with a very strong knowledge of economics and quantitative techniques. + Candidates must be authorized to work in the US without company sponsorship + Experience turning large data sets into economic indicators + Experience at a financial institution, fintech firm, consulting firm, data science or data engineering firm, rating agency, or large corporation. + Strong understanding of the US economy. + Knowledge of building complex models. + Effective communication and writing skills to further research publications. + Experience briefing senior executives on complex topics. + Strong process management discipline. Establishes priorities, anticipates problems, determines completion dates, knows and communicates the status of assignments; manages time effectively; uses the services of others effectively. + Team player with a strong collaborative orientation; ability to build strong relationships across an organization. + Entrepreneurial and creative focus to determine new work streams, initiatives, and deliverables that could be of value to internal parties and external clients. + Ability to deal with ambiguity in a matrixed organization; ability to guide, influence and navigate effectively with different constituencies in achieving company goals. + Excellent written and verbal communications skills. + Degree in computer science, data science, math, or economics is preferred. This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our listed office locations will have the expectation of working in an office three days a week (Tuesday through Thursday). Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $140,800 - $211,200 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us (************************************* | Our Culture (******************************************************* | What It's Like to Work Here (************************************************** | Perks & Benefits (********************************************* Every day, a day to do right. Showing up for people isn't just what we do. It's who we are - and have been for more than 200 years. We're devoted to finding innovative ways to serve our customers, communities and employees-continually asking ourselves what more we can do. Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable? That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined. And while how we contribute looks different for each of us, it's these values that drive all of us to do more and to do better every day. About Us (************************************* Our Culture What It's Like to Work Here (************************************************** Perks & Benefits Legal Notice (***************************************** Accessibility Statement Producer Compensation (************************************************** EEO Privacy Policy (************************************************** California Privacy Policy Your California Privacy Choices (****************************************************** International Privacy Policy Canadian Privacy Policy (**************************************************** Unincorporated Areas of LA County, CA (Applicant Information) MA Applicant Notice (******************************************** Hartford India Prospective Personnel Privacy Notice

Economist - UZ07BE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. Reporting to the Head of The Global Insights Center, the Data Scientist Economist will be responsible for leveraging large internal and external data sets to create new economic indicators, trackers, and analytical tools to decipher macro and micro economic trends that are of relevance to the insurance sector. The candidate will conduct research on the US economy, and at times the global economy. The candidate will utilize sources of large data sets and build complex models to develop trends around these data points. This will include the creation of bespoke economic indicators that help assess and articulate economic trends at the national, state, and local level. These data sets and the output indicators and trends will be used to assess business risk in a manner that is relevant to insurance sector outcomes. The output will be used to provide risk advisory services for the firm's clients. Ideally, the candidate will have experience or knowledge with building and using complex econometric and related models. They will have strong knowledge of public economic data sources, and experience working with large sets of noneconomic data. They will have experience building bespoke indicators using a mix of data sources and often derive creative methods to create new economic indicators. The ideal candidate will be an expert in data science, using large data, modeling, and economics. The candidate will also have knowledge of artificial intelligence tools and how they leverage applications to scale up the delivery of their analysis and modeling. The candidate will work closely with, and support, the Head of the Global Insights Center to ensure that the output of their research and output aligns with the team and organization's goals and strategies. The candidate will also interface with the firm's leadership and underwriting units across the enterprise. The purpose will be to explain economic data and insights at the national and local level to help drive the firm's strategy and underwriting decisions. The candidate will contribute to the Insights Center various research publications, which will be distributed both internally and externally. In addition, the candidate will determine new avenues of conducting research, generating content, and building models that can further the firm's overall goals and initiatives. Responsibilities: * Develop bespoke economic indicators identifying unique trends and outcomes at the national, state, and local level broken out by industry. * Create information and analytics that can be used by internal and external stakeholders to identify business trends and risks. * Utilize creative methods to create a stronger understanding of economic risk, and its implications for industries/businesses in the US. * Correlate the findings to implications for the insurance sector. * Access publicly available economic data at the national, state, and local level and overlay with other noneconomic internally available data sets. * Create methods and systems to integrate and curate the various data sets from their sources. * Work with internal data engineering partners to source appropriate data. * Build models to create localized trends and the bespoke economic indicators. * Create presentations and determine unique new methods of displaying the data findings. * Develop views on the national, state, and local economies. * Ascertain new methods of injecting findings into the firm's operations, strategy, underwriting, and financial planning. * Join the team's leadership in meeting with clients to present findings and outlooks. * Develop presentations and briefings that can be utilized by the firm's external partners. * Contribute to the Global Insights Center's external research publications. * Prepare white papers outlining medium term views on key aspects of the US economy. Candidate Profile: * Ten plus years of relevant work experience as a data scientist or data engineer with a very strong knowledge of economics and quantitative techniques. * Candidates must be authorized to work in the US without company sponsorship * Experience turning large data sets into economic indicators * Experience at a financial institution, fintech firm, consulting firm, data science or data engineering firm, rating agency, or large corporation. * Strong understanding of the US economy. * Knowledge of building complex models. * Effective communication and writing skills to further research publications. * Experience briefing senior executives on complex topics. * Strong process management discipline. Establishes priorities, anticipates problems, determines completion dates, knows and communicates the status of assignments; manages time effectively; uses the services of others effectively. * Team player with a strong collaborative orientation; ability to build strong relationships across an organization. * Entrepreneurial and creative focus to determine new work streams, initiatives, and deliverables that could be of value to internal parties and external clients. * Ability to deal with ambiguity in a matrixed organization; ability to guide, influence and navigate effectively with different constituencies in achieving company goals. * Excellent written and verbal communications skills. * Degree in computer science, data science, math, or economics is preferred. This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our listed office locations will have the expectation of working in an office three days a week (Tuesday through Thursday). Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $140,800 - $211,200 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

Economist - UZ07BE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. Reporting to the Head of The Global Insights Center, the Data Scientist Economist will be responsible for leveraging large internal and external data sets to create new economic indicators, trackers, and analytical tools to decipher macro and micro economic trends that are of relevance to the insurance sector. The candidate will conduct research on the US economy, and at times the global economy. The candidate will utilize sources of large data sets and build complex models to develop trends around these data points. This will include the creation of bespoke economic indicators that help assess and articulate economic trends at the national, state, and local level. These data sets and the output indicators and trends will be used to assess business risk in a manner that is relevant to insurance sector outcomes. The output will be used to provide risk advisory services for the firm's clients. Ideally, the candidate will have experience or knowledge with building and using complex econometric and related models. They will have strong knowledge of public economic data sources, and experience working with large sets of noneconomic data. They will have experience building bespoke indicators using a mix of data sources and often derive creative methods to create new economic indicators. The ideal candidate will be an expert in data science, using large data, modeling, and economics. The candidate will also have knowledge of artificial intelligence tools and how they leverage applications to scale up the delivery of their analysis and modeling. The candidate will work closely with, and support, the Head of the Global Insights Center to ensure that the output of their research and output aligns with the team and organization's goals and strategies. The candidate will also interface with the firm's leadership and underwriting units across the enterprise. The purpose will be to explain economic data and insights at the national and local level to help drive the firm's strategy and underwriting decisions. The candidate will contribute to the Insights Center various research publications, which will be distributed both internally and externally. In addition, the candidate will determine new avenues of conducting research, generating content, and building models that can further the firm's overall goals and initiatives. Responsibilities: * Develop bespoke economic indicators identifying unique trends and outcomes at the national, state, and local level broken out by industry. * Create information and analytics that can be used by internal and external stakeholders to identify business trends and risks. * Utilize creative methods to create a stronger understanding of economic risk, and its implications for industries/businesses in the US. * Correlate the findings to implications for the insurance sector. * Access publicly available economic data at the national, state, and local level and overlay with other noneconomic internally available data sets. * Create methods and systems to integrate and curate the various data sets from their sources. * Work with internal data engineering partners to source appropriate data. * Build models to create localized trends and the bespoke economic indicators. * Create presentations and determine unique new methods of displaying the data findings. * Develop views on the national, state, and local economies. * Ascertain new methods of injecting findings into the firm's operations, strategy, underwriting, and financial planning. * Join the team's leadership in meeting with clients to present findings and outlooks. * Develop presentations and briefings that can be utilized by the firm's external partners. * Contribute to the Global Insights Center's external research publications. * Prepare white papers outlining medium term views on key aspects of the US economy. Candidate Profile: * Ten plus years of relevant work experience as a data scientist or data engineer with a very strong knowledge of economics and quantitative techniques. * Candidates must be authorized to work in the US without company sponsorship * Experience turning large data sets into economic indicators * Experience at a financial institution, fintech firm, consulting firm, data science or data engineering firm, rating agency, or large corporation. * Strong understanding of the US economy. * Knowledge of building complex models. * Effective communication and writing skills to further research publications. * Experience briefing senior executives on complex topics. * Strong process management discipline. Establishes priorities, anticipates problems, determines completion dates, knows and communicates the status of assignments; manages time effectively; uses the services of others effectively. * Team player with a strong collaborative orientation; ability to build strong relationships across an organization. * Entrepreneurial and creative focus to determine new work streams, initiatives, and deliverables that could be of value to internal parties and external clients. * Ability to deal with ambiguity in a matrixed organization; ability to guide, influence and navigate effectively with different constituencies in achieving company goals. * Excellent written and verbal communications skills. * Degree in computer science, data science, math, or economics is preferred. This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our listed office locations will have the expectation of working in an office three days a week (Tuesday through Thursday). Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $140,800 - $211,200 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

Economist - UZ07BE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. Reporting to the Head of The Global Insights Center, the Data Scientist Economist will be responsible for leveraging large internal and external data sets to create new economic indicators, trackers, and analytical tools to decipher macro and micro economic trends that are of relevance to the insurance sector. The candidate will conduct research on the US economy, and at times the global economy. The candidate will utilize sources of large data sets and build complex models to develop trends around these data points. This will include the creation of bespoke economic indicators that help assess and articulate economic trends at the national, state, and local level. These data sets and the output indicators and trends will be used to assess business risk in a manner that is relevant to insurance sector outcomes. The output will be used to provide risk advisory services for the firm's clients. Ideally, the candidate will have experience or knowledge with building and using complex econometric and related models. They will have strong knowledge of public economic data sources, and experience working with large sets of noneconomic data. They will have experience building bespoke indicators using a mix of data sources and often derive creative methods to create new economic indicators. The ideal candidate will be an expert in data science, using large data, modeling, and economics. The candidate will also have knowledge of artificial intelligence tools and how they leverage applications to scale up the delivery of their analysis and modeling. The candidate will work closely with, and support, the Head of the Global Insights Center to ensure that the output of their research and output aligns with the team and organization's goals and strategies. The candidate will also interface with the firm's leadership and underwriting units across the enterprise. The purpose will be to explain economic data and insights at the national and local level to help drive the firm's strategy and underwriting decisions. The candidate will contribute to the Insights Center various research publications, which will be distributed both internally and externally. In addition, the candidate will determine new avenues of conducting research, generating content, and building models that can further the firm's overall goals and initiatives. Responsibilities: + Develop bespoke economic indicators identifying unique trends and outcomes at the national, state, and local level broken out by industry. + Create information and analytics that can be used by internal and external stakeholders to identify business trends and risks. + Utilize creative methods to create a stronger understanding of economic risk, and its implications for industries/businesses in the US. + Correlate the findings to implications for the insurance sector. + Access publicly available economic data at the national, state, and local level and overlay with other noneconomic internally available data sets. + Create methods and systems to integrate and curate the various data sets from their sources. + Work with internal data engineering partners to source appropriate data. + Build models to create localized trends and the bespoke economic indicators. + Create presentations and determine unique new methods of displaying the data findings. + Develop views on the national, state, and local economies. + Ascertain new methods of injecting findings into the firm's operations, strategy, underwriting, and financial planning. + Join the team's leadership in meeting with clients to present findings and outlooks. + Develop presentations and briefings that can be utilized by the firm's external partners. + Contribute to the Global Insights Center's external research publications. + Prepare white papers outlining medium term views on key aspects of the US economy. Candidate Profile: + Ten plus years of relevant work experience as a data scientist or data engineer with a very strong knowledge of economics and quantitative techniques. + Candidates must be authorized to work in the US without company sponsorship + Experience turning large data sets into economic indicators + Experience at a financial institution, fintech firm, consulting firm, data science or data engineering firm, rating agency, or large corporation. + Strong understanding of the US economy. + Knowledge of building complex models. + Effective communication and writing skills to further research publications. + Experience briefing senior executives on complex topics. + Strong process management discipline. Establishes priorities, anticipates problems, determines completion dates, knows and communicates the status of assignments; manages time effectively; uses the services of others effectively. + Team player with a strong collaborative orientation; ability to build strong relationships across an organization. + Entrepreneurial and creative focus to determine new work streams, initiatives, and deliverables that could be of value to internal parties and external clients. + Ability to deal with ambiguity in a matrixed organization; ability to guide, influence and navigate effectively with different constituencies in achieving company goals. + Excellent written and verbal communications skills. + Degree in computer science, data science, math, or economics is preferred. This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our listed office locations will have the expectation of working in an office three days a week (Tuesday through Thursday). Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $140,800 - $211,200 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us (************************************* | Our Culture (******************************************************* | What It's Like to Work Here (************************************************** | Perks & Benefits (********************************************* Every day, a day to do right. Showing up for people isn't just what we do. It's who we are - and have been for more than 200 years. We're devoted to finding innovative ways to serve our customers, communities and employees-continually asking ourselves what more we can do. Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable? That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined. And while how we contribute looks different for each of us, it's these values that drive all of us to do more and to do better every day. About Us (************************************* Our Culture What It's Like to Work Here (************************************************** Perks & Benefits Legal Notice (***************************************** Accessibility Statement Producer Compensation (************************************************** EEO Privacy Policy (************************************************** California Privacy Policy Your California Privacy Choices (****************************************************** International Privacy Policy Canadian Privacy Policy (**************************************************** Unincorporated Areas of LA County, CA (Applicant Information) MA Applicant Notice (******************************************** Hartford India Prospective Personnel Privacy Notice

Economist - UZ07BE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. Reporting to the Head of The Global Insights Center, the Data Scientist Economist will be responsible for leveraging large internal and external data sets to create new economic indicators, trackers, and analytical tools to decipher macro and micro economic trends that are of relevance to the insurance sector. The candidate will conduct research on the US economy, and at times the global economy. The candidate will utilize sources of large data sets and build complex models to develop trends around these data points. This will include the creation of bespoke economic indicators that help assess and articulate economic trends at the national, state, and local level. These data sets and the output indicators and trends will be used to assess business risk in a manner that is relevant to insurance sector outcomes. The output will be used to provide risk advisory services for the firm's clients. Ideally, the candidate will have experience or knowledge with building and using complex econometric and related models. They will have strong knowledge of public economic data sources, and experience working with large sets of noneconomic data. They will have experience building bespoke indicators using a mix of data sources and often derive creative methods to create new economic indicators. The ideal candidate will be an expert in data science, using large data, modeling, and economics. The candidate will also have knowledge of artificial intelligence tools and how they leverage applications to scale up the delivery of their analysis and modeling. The candidate will work closely with, and support, the Head of the Global Insights Center to ensure that the output of their research and output aligns with the team and organization's goals and strategies. The candidate will also interface with the firm's leadership and underwriting units across the enterprise. The purpose will be to explain economic data and insights at the national and local level to help drive the firm's strategy and underwriting decisions. The candidate will contribute to the Insights Center various research publications, which will be distributed both internally and externally. In addition, the candidate will determine new avenues of conducting research, generating content, and building models that can further the firm's overall goals and initiatives. Responsibilities: + Develop bespoke economic indicators identifying unique trends and outcomes at the national, state, and local level broken out by industry. + Create information and analytics that can be used by internal and external stakeholders to identify business trends and risks. + Utilize creative methods to create a stronger understanding of economic risk, and its implications for industries/businesses in the US. + Correlate the findings to implications for the insurance sector. + Access publicly available economic data at the national, state, and local level and overlay with other noneconomic internally available data sets. + Create methods and systems to integrate and curate the various data sets from their sources. + Work with internal data engineering partners to source appropriate data. + Build models to create localized trends and the bespoke economic indicators. + Create presentations and determine unique new methods of displaying the data findings. + Develop views on the national, state, and local economies. + Ascertain new methods of injecting findings into the firm's operations, strategy, underwriting, and financial planning. + Join the team's leadership in meeting with clients to present findings and outlooks. + Develop presentations and briefings that can be utilized by the firm's external partners. + Contribute to the Global Insights Center's external research publications. + Prepare white papers outlining medium term views on key aspects of the US economy. Candidate Profile: + Ten plus years of relevant work experience as a data scientist or data engineer with a very strong knowledge of economics and quantitative techniques. + Candidates must be authorized to work in the US without company sponsorship + Experience turning large data sets into economic indicators + Experience at a financial institution, fintech firm, consulting firm, data science or data engineering firm, rating agency, or large corporation. + Strong understanding of the US economy. + Knowledge of building complex models. + Effective communication and writing skills to further research publications. + Experience briefing senior executives on complex topics. + Strong process management discipline. Establishes priorities, anticipates problems, determines completion dates, knows and communicates the status of assignments; manages time effectively; uses the services of others effectively. + Team player with a strong collaborative orientation; ability to build strong relationships across an organization. + Entrepreneurial and creative focus to determine new work streams, initiatives, and deliverables that could be of value to internal parties and external clients. + Ability to deal with ambiguity in a matrixed organization; ability to guide, influence and navigate effectively with different constituencies in achieving company goals. + Excellent written and verbal communications skills. + Degree in computer science, data science, math, or economics is preferred. This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our listed office locations will have the expectation of working in an office three days a week (Tuesday through Thursday). Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $140,800 - $211,200 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us (************************************* | Our Culture (******************************************************* | What It's Like to Work Here (************************************************** | Perks & Benefits (********************************************* Every day, a day to do right. Showing up for people isn't just what we do. It's who we are - and have been for more than 200 years. We're devoted to finding innovative ways to serve our customers, communities and employees-continually asking ourselves what more we can do. Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable? That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined. And while how we contribute looks different for each of us, it's these values that drive all of us to do more and to do better every day. About Us (************************************* Our Culture What It's Like to Work Here (************************************************** Perks & Benefits Legal Notice (***************************************** Accessibility Statement Producer Compensation (************************************************** EEO Privacy Policy (************************************************** California Privacy Policy Your California Privacy Choices (****************************************************** International Privacy Policy Canadian Privacy Policy (**************************************************** Unincorporated Areas of LA County, CA (Applicant Information) MA Applicant Notice (******************************************** Hartford India Prospective Personnel Privacy Notice

Economist - UZ07BE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. Reporting to the Head of The Global Insights Center, the Data Scientist Economist will be responsible for leveraging large internal and external data sets to create new economic indicators, trackers, and analytical tools to decipher macro and micro economic trends that are of relevance to the insurance sector. The candidate will conduct research on the US economy, and at times the global economy. The candidate will utilize sources of large data sets and build complex models to develop trends around these data points. This will include the creation of bespoke economic indicators that help assess and articulate economic trends at the national, state, and local level. These data sets and the output indicators and trends will be used to assess business risk in a manner that is relevant to insurance sector outcomes. The output will be used to provide risk advisory services for the firm's clients. Ideally, the candidate will have experience or knowledge with building and using complex econometric and related models. They will have strong knowledge of public economic data sources, and experience working with large sets of noneconomic data. They will have experience building bespoke indicators using a mix of data sources and often derive creative methods to create new economic indicators. The ideal candidate will be an expert in data science, using large data, modeling, and economics. The candidate will also have knowledge of artificial intelligence tools and how they leverage applications to scale up the delivery of their analysis and modeling. The candidate will work closely with, and support, the Head of the Global Insights Center to ensure that the output of their research and output aligns with the team and organization's goals and strategies. The candidate will also interface with the firm's leadership and underwriting units across the enterprise. The purpose will be to explain economic data and insights at the national and local level to help drive the firm's strategy and underwriting decisions. The candidate will contribute to the Insights Center various research publications, which will be distributed both internally and externally. In addition, the candidate will determine new avenues of conducting research, generating content, and building models that can further the firm's overall goals and initiatives. Responsibilities: * Develop bespoke economic indicators identifying unique trends and outcomes at the national, state, and local level broken out by industry. * Create information and analytics that can be used by internal and external stakeholders to identify business trends and risks. * Utilize creative methods to create a stronger understanding of economic risk, and its implications for industries/businesses in the US. * Correlate the findings to implications for the insurance sector. * Access publicly available economic data at the national, state, and local level and overlay with other noneconomic internally available data sets. * Create methods and systems to integrate and curate the various data sets from their sources. * Work with internal data engineering partners to source appropriate data. * Build models to create localized trends and the bespoke economic indicators. * Create presentations and determine unique new methods of displaying the data findings. * Develop views on the national, state, and local economies. * Ascertain new methods of injecting findings into the firm's operations, strategy, underwriting, and financial planning. * Join the team's leadership in meeting with clients to present findings and outlooks. * Develop presentations and briefings that can be utilized by the firm's external partners. * Contribute to the Global Insights Center's external research publications. * Prepare white papers outlining medium term views on key aspects of the US economy. Candidate Profile: * Ten plus years of relevant work experience as a data scientist or data engineer with a very strong knowledge of economics and quantitative techniques. * Candidates must be authorized to work in the US without company sponsorship * Experience turning large data sets into economic indicators * Experience at a financial institution, fintech firm, consulting firm, data science or data engineering firm, rating agency, or large corporation. * Strong understanding of the US economy. * Knowledge of building complex models. * Effective communication and writing skills to further research publications. * Experience briefing senior executives on complex topics. * Strong process management discipline. Establishes priorities, anticipates problems, determines completion dates, knows and communicates the status of assignments; manages time effectively; uses the services of others effectively. * Team player with a strong collaborative orientation; ability to build strong relationships across an organization. * Entrepreneurial and creative focus to determine new work streams, initiatives, and deliverables that could be of value to internal parties and external clients. * Ability to deal with ambiguity in a matrixed organization; ability to guide, influence and navigate effectively with different constituencies in achieving company goals. * Excellent written and verbal communications skills. * Degree in computer science, data science, math, or economics is preferred. This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our listed office locations will have the expectation of working in an office three days a week (Tuesday through Thursday). Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $140,800 - $211,200 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

JobID: 210677581 JobSchedule: Full time JobShift: Base Pay/Salary: New York,NY $142,500.00-$210,000.00 Transform business challenges into data-driven solutions-your insights will fuel growth and competitive advantage. As a Data Scientist on the Commerce Payments product team, you'll be responsible for identifying, developing, and executing data and analytics solutions for embedded payments, including digital wallets and card-on-file in ecommerce. You will work closely with quad partners (Product, Technology, Operations, and Risk) to deliver actionable insights and support data-driven decision-making. Job Responsibilities * Collaborate with quad partners to understand business needs and translate them into analytics requirements and solutions. * Lead the design, development, and implementation of advanced analytics solutions, including dashboards, predictive models, and reporting tools. * Communicate analytics findings and recommendations to quad partners and other stakeholders. * Build strong relationships across Product, Technology, Design, and Risk teams to ensure alignment and impact. * Manage, mentor, and develop junior analytics team members, fostering a collaborative and high-performance culture. * Ensure data integrity and quality in all analytics deliverables. * Partner with Technology and Data teams to maintain secure and compliant data practices. * Stay current with analytics best practices, tools, and industry trends. * Identify opportunities to enhance analytics processes and methodologies. Required Qualifications, Capabilities, and Skills * Bachelor's or Master's degree in Data Science, Analytics, Statistics, Computer Science, or related field. * 6+ years of experience in analytics, data science, or business intelligence, with at least 2 years in a people management or team lead role. * Proficiency in analytics tools and technologies (e.g., SQL, Python, R, Tableau, Power BI). * Experience supporting product teams * Strong communication and stakeholder management skills. * Demonstrated ability to lead and develop analytics team members. This role is not eligible for visa sponsorship or relocation assistance

Please note: While we appreciate interest from all applicants, Braviant Holdings is unable to sponsor visas at this time. Who We Are:Founded in 2015 and based in Chicago, IL, privately held Braviant Holdings, LLC is a leading provider of tech- enabled credit products which combine breakthrough technology and cutting-edge machine learning to transform how people access credit online. The Company's next-generation approach to lending reduces credit barriers and creates a Path to Prime helping millions of underbanked consumers build credit history, reduce their cost of borrowing, and take control of their personal finances. Bravianthas been named multiple times to the Inc. 5000 list of fastest growing private companies and has been recognized as a Best Place to Work. Position Summary:We are looking for an experienced Data Scientist to develop, implement and optimize the core machine learning models that drive our business. The right person for this role has strong technical skills with a solid background in machine learning and analytics. You will play a central role in delivering scalable, interpretable, and compliant models that drives Braviant's businessperformance while collaborating closely with partners across Marketing, Credit, Technology, and Compliance. This person is biased towards action and proactively seeking new solutions.What you'll be doing: Develop, implement and monitor performance of machine learning models across loan life cycle Design and implement A/B testing frameworks to validate hypothesis, analyze outcomes and drive continuous improvement Proactively perform data exploration and analysis to identify new opportunities to enhance model performance and business impact Collaborate with cross functional stakeholders to define and monitor business KPIs and influence product strategy Partner with Technology teams to build out data science pipelines to support continuous testing, optimization and implementation of new models Ensure rigorous documentation, governance, and model validation in accordance with financial services regulatory requirements What you'll bring: Degree in Data Science, Applied Mathematics, Statistics, Economics, Computer Science or a related field 4-6 years of professional experience in Data Science, Analytics or a related field within FinTech or online lending space. Advanced proficiency in Python for programming, data analysis, and predictive modeling Proficiency in SQL, Excel and experience with data visualization tools Excellent knowledge in applied statistical methods and experience using various predictive machine learning techniques including: linear models, decision trees, boosting, and ensemble models Knowledge of optimization, stochastic processes, experimental design, A/B testing and bootstrapping Passion for keeping your skills up to date and exploring new methodologies The ability to distill complex problems and analysis into a clear and concise narrative Benefits and Perks• Medical benefits paid by employer/employee split of 80/20• Participation in discretionary bonus plan• Dental and Vision covered at zero cost to you for employee only coverage• PTO, Sick and Floating Holidays• 14 Company Holidays• Participation in the Company Profits Interest Units long term incentive plan• Remote work environment• Monthly Internet stipend• Team and company events/get togethers Braviant is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate on the basis of race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, marital status, veteran status, disability status, or any other characteristic protected by applicable law

General information Career area Technology Work Location(s) 601 S. Tryon Street, NC Remote? No Ref # 21580 Posted Date 01-23-26 Working time Full time Ally and Your Career Ally Financial only succeeds when its people do - and that's more than some cliché people put on job postings. We live this stuff! We see our people as, well, people - with interests, families, friends, dreams, and causes that are all important to them. Our focus is on the health and safety of our teammates as well as work-life balance and diversity and inclusion. From generous benefits to a variety of employee resource groups, we strive to build paths that encourage employees to stretch themselves professionally. We want to help you grow, develop, and learn new things. You're constantly evolving, so shouldn't your opportunities be, too? Work Schedule: Ally designates roles as (1) fully on-site, (2) hybrid, or (3) fully remote. Hybrid roles are generally expected to be in the office a certain number of days per week as indicated by your manager. Your hiring manager will discuss this role's specific work requirements with you during the hiring process. All work requirements are subject to change at any time based on leader discretion and/or business need. The Opportunity As a leader in digital financial services, our customer and employee experiences run on data. Our cloud-based data, analytics, and AI platform fuel these journeys and help nearly 10,000 leaders and employees make countless data-driven decisions every day. Our data scientists develop ML solutions that help generate revenue, enhance user experience, and ensure that state-of-the-art GenAI systems run safely and securely. We are seeking highly skilled Data Scientists to join our growing team. This role will support enterprise initiatives across machine learning model development, Responsible AI, governance, and emerging generative AI innovations. You will partner with business stakeholders, technology teams, and risk partners to deliver high-quality ML solutions and tools, and ensure responsible, effective deployment of AI solutions. Successful candidates will be hands-on with data and modeling, while also demonstrating strong communication skills and the ability to influence across a complex organization. The Work Itself In this role, you will lead the development and deployment of cutting-edge machine learning and generative AI/agent solutions that drive business transformation. You will design and implement advanced models utilizing experimentation, multi-modal data, and the latest AI techniques to solve complex problems and unlock new opportunities. As a technical expert and innovator, you will collaborate closely with cross-functional teams to ensure our AI systems are robust, responsible, and deliver measurable impact. You will also lead the architectural design and development of state-of-the-art machine learning, generative AI, and agent systems that enhance user experience, drive revenue, and ensure operational excellence. Lead experimentation initiatives, leveraging A/B testing, and novel AI approaches to continuously improve model performance and business outcomes. Advance responsible AI practices by integrating governance, ethical considerations, and security into every stage of model development and deployment. Develop and maintain trustworthy benchmarks and operational performance monitoring for predictive models and GenAI and agentic systems. Incorporate sophisticated algorithms, experimental design, and emerging AI methodologies to solve real-world challenges and push the boundaries of innovation. Identify and champion new business opportunities by proposing and delivering innovative AI-driven solutions that create tangible value and competitive advantage. The Skills You Bring Required: 5+ years of experience in machine learning and data science. Bachelor's degree. Strong coding skills in Python Familiarity with cloud data environments such as AWS, Snowflake, Sagemaker, etc. Demonstrated technical leadership in developing and delivering AI/ML solutions in a production setting. Strong collaboration skills and growth mindset. Nice-to-Haves: Graduate degree. GitHub handle and repositories. Hands-on GenAI/agent and ML engineering experience e.g. using LangChain, Hugging Face, vector databases etc. Familiarity with Responsible AI principles, governance frameworks, or Model Risk Management especially in a finance setting. Experience in working with multiple partners and driving consensus. #LI-Hybrid How We'll Have Your Back Ally's compensation program offers market-competitive base pay and pay-for-performance incentives (bonuses) based on achieving personal and company goals. Our Total Rewards program includes industry-leading compensation and benefits plus additional incentives that are designed to meet your needs and those of your family so you can get the most out of your career and your life, including: Time Away: Program starts at 20 paid time off days in addition to 11 paid holidays and 8 hours of volunteer time off yearly (time off days are prorated based on start date and program varies based on full or part-time status and management level). Planning for the Future: plan for the near and long term with an industry-leading 401K retirement savings plan with matching and company contributions, student loan pay downs and 529 educational save up assistance programs, tuition reimbursement, employee stock purchase plan, and financial learning center and financial coach access. Supporting your Health & Well-being: flexible health and insurance options including medical, dental and vision, employee, spouse and child life insurance, short- and long-term disability, pre-tax Health Savings Account with employer contributions, Healthcare FSA, critical illness, accident & hospital indemnity insurance, and a total well-being program that helps you and your family stay on track physically, socially, emotionally, and financially. Building a Family: adoption, surrogacy and fertility assistance as well as paid parental and caregiver leave, Dependent Day Care FSA back-up child and adult/elder care days and childcare discounts. Work-Life Integration: other benefits including Mentally Fit Employee Assistance Program, subsidized and discounted Weight Watchers program and other employee discount programs. Other compensations: depending on the role for which you are considered, you may be eligible for travel allowances, relocation assistance, a signing bonus and/or equity. To view more detailed information about Ally's Total Rewards, please visit this link: ****************************************************************************** Who We Are: Ally Financial is a customer-centric, leading digital financial services company with passionate customer service and innovative financial solutions. We are relentlessly focused on "Doing it Right" and being a trusted financial-services provider to our consumer, commercial, and corporate customers. For more information, visit ************* Ally is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity or expression, pregnancy status, marital status, military or veteran status, genetic disposition or any other reason protected by law. We are committed to working with and providing reasonable accommodation to applicants with physical or mental disabilities. For accommodation requests, email us at *****************. Ally will not discriminate against any qualified individual who is capable of performing the essential functions of the job with or without reasonable accommodation. Base Pay Range: $110000 - $180000 USDAn individual's position in the range is determined by the specific role, the scope and responsibilities of the role, work experience, education, certification(s), training, and additional qualifications. We review internal pay, the competitive market, and business environment prior to extending an offer. Incentive Compensation: This position is eligible to participate in our annual incentive plan.

You will be a strategic partner to product, engineering, and trust and safety teams, responsible for defining evaluation frameworks, leading experiments (A/B, quasi-experiments, etc.), and turning offline and live model performance into product improvements. This role requires a strong track record in startup-style experimentation (moving quickly with scrappy but rigorous methods) and product experimentation at scale. The ideal candidate will also bring proven experience in leading and managing teams to deliver high-impact data science work. 100% remote Salary Range $120,000 - $260,000 Essential Job Functions ● Lead end-to-end experimentation: hypothesis generation, metric design, experiment design (A/B, multivariate, sequential, etc.), analysis, and interpretation. ● Build and maintain evaluation frameworks for LLMs: correctness, consistency, safety, hallucination detection, bias/fairness, etc. ● Develop predictive models, classification/ranking systems, and heuristics to improve product features related to AI/language generation. ● Collaborate with prompt engineers & model builders to test prompt strategies, fine-tuning, or model selection; work on failure modes/error analysis. ● Automate experiment pipelines: dashboards, monitoring, alerting, instrumentation. Ensure data quality & measurement integrity. ● Use causal inference / observational studies when randomized experiments are not feasible. ● Present findings and recommendations to both technical and non-technical leadership; influence roadmap decisions. ● Drive experimentation in startup-like environments: rapid iteration, learning from limited data, and balancing speed with rigor. ● Shape large-scale product experimentation: define frameworks for experimentation at scale and integrate results into product strategy. ● Lead and mentor teams of data scientists, analysts, and engineers; set best practices for experiment design and AI product evaluation. Requirements ~8-12+ years of experience in data science / ML roles, ideally with experiment design/product analytics. Proven track record in both startup-style and large-scale product experimentation. Experience leading teams, setting strategy, and driving execution in cross-functional environments. Strong background with statistical methods, causal inference, and rigorous measurement. Experience using LLMs / NLP / AI / prompt engineering or a closely related field. Excellent coding skills in Python (or similar), strong SQL, experience building and deploying models or analytic pipelines. Ability to work in cross-functional teams, translate technical results into business or product changes. Strong communication skills; ability to explain complex analyses to non-technical stakeholders. Preferred Qualifications Experience fine-tuning or working with multiple LLM providers / APIs. Experience with experiment platforms or building internal tooling for experimentation & model evaluation. Experience in voice / ASR or other multi-modal data. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k) Life Insurance (Basic, Voluntary & AD&D) Flexible Paid Time Off Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Work From Home Stock Option Plan

JobID: 210665625 JobSchedule: Full time JobShift: Base Pay/Salary: Jersey City,NJ $164,350.00-$260,000.00; Chicago,IL $137,750.00-$235,000.00 Join us as we revolutionize data and analytics with cutting-edge Generative AI, shaping the future of our organization. Experience career growth, collaborate with top talent, and make a meaningful impact through ethical and sustainable AI practices. As a Generative AI Data Science Lead in the Applied Solutions Team, you will drive the development and optimization of LLM-aided AI products. You work closely with cross-functional teams to deliver scalable solutions that support our business objectives and foster innovation. You will help shape the future of our organization by leveraging advanced data science and engineering practices. You will collaborate with the ML Centre of Excellence, AI Research, and Engineering teams to design and deliver high-impact GenAI products and APIs. Your expertise will ensure our solutions are robust, scalable, and aligned with the needs of our business and stakeholders. Job Responsibilities * Combine vast data assets with advanced AI, including LLMs and Multimodal LLMs * Bridge scientific research and software engineering, applying expertise in both domains * Collaborate with engineering teams to lead the design and delivery of GenAI products * Architect and implement scalable AI Agents, Agentic Workflows, and GenAI applications * Integrate GenAI solutions with enterprise platforms using API-based methods * Establish validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails * Align ML problem definition with business objectives * Communicate technical information and ideas effectively to stakeholders Required Qualifications, Capabilities, and Skills * Bachelor's Degree in a quantitative discipline such as Computer Science, Mathematics, or Statistics * Ten years of experience in an individual contributor role in ML engineering * Strong understanding of statistics, optimization, and ML theory, focusing on NLP and/or Computer Vision algorithms * Demonstrated experience in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLM models * Experience integrating GenAI solutions with enterprise platforms via standardized API patterns * Ability to establish validation procedures, including Evaluation Frameworks, bias mitigation, safety protocols, and guardrails * Excellent grasp of computer science fundamentals and SDLC best practices * Strong communication skills to build trust with stakeholders Preferred Qualifications, Capabilities, and Skills * PhD in a quantitative discipline such as Computer Science, Mathematics, or Statistics * Experience designing and implementing pipelines using DAGs such as Kubeflow, DVC, or Ray * Ability to construct batch and streaming microservices exposed as gRPC or GraphQL endpoints * Hands-on experience implementing distributed, multi-threaded, and scalable applications using frameworks such as Ray, Horovod, or DeepSpeed * Relocation assistance is not available for this role.

The Wealthfront Data Science team utilizes our rich financial and behavioral data to influence Marketing, Product and information security decisions. The team draws from backgrounds in Computer Science, Natural Sciences, Statistics, Operations Research, Economics and Finance. The Data Scientist in this role will be primarily embedded within Wealthfront's Lifecycle (LC) Marketing team. The objectives of the LC Marketing team are maximizing lead conversion and optimizing client engagement. The team addresses these goals by designing and executing personalized campaigns delivered via Emails, InApp merchandising, and push notifications. The set of potential projects for this role includes (but is not limited to) client segmentation, campaign design and analysis, and client value modeling. A successful Lifecycle Marketing Data Scientist employs a combination of economic intuition, first-principles mathematical modeling, statistics (including causal inference) and machine learning. A key desired trait for this role is an ability to collaboratively create experiments based on clients' hypothesized pain points, aspirations, and moments of delight. An ideal candidate will also act as a mentor to junior team members and demonstrate an ability to explain technical concepts in a simple language.Responsibilities Suggest and analyze Lifecycle Marketing campaigns rooted in clients' delight and friction. Employ and exemplify rigor in mathematical analyses and sound design principles in software development. Collaborate with the Lifecycle Marketing team to define quarterly and yearly initiatives. Turn initiatives into projects with clear rationale, candidate approaches and milestones. Execute planned projects through hands-on work and delegation. This includes tracking priority and progress of projects in weekly meetings. Articulate technical information, including assumptions, methodologies, and outcomes to specialists across disciplines. Translate hunches to hypotheses and numbers into recommendations. Absorb and articulate the Marketing strategy and project rationales to Data Scientists. Requirements Masters or PhD degree in Computer Science, Statistics, Operations Research or Natural Sciences, with 4-8+ years of prior experience as a Data Scientist. Proficiency in Python and SQL A strong foundation in practical Statistics including the use of causal inference. Strong mathematical and software engineering skills. Fluency in long and short form oral and written communication. Ability to sharpen or reframe project requirements through effective collaboration. Desire to mentor junior Data Scientists by exemplifying math, engineering and technical communication skills. Experience in a Marketing facing role preferred, but not required Estimated annual salary range: $164,000 - $184,000 plus Equity and a discretionary bonus. Benefits include medical, vision, dental, 401K plan, generous time off, parental leave, wellness reimbursements, professional development, employee investing discount, and more! About Wealthfront Here at Wealthfront, our mission is to create a financial system that favors people, not institutions. We do this by leveraging technology to build powerful, low-cost, and easy-to-use financial products that help modern investors grow and manage their money. We started with the ambition to transform the investment advisory business. By automating strategies typically reserved for the wealthy, we unlocked access to high quality investment advice for a digitally-native generation that was underserved by traditional institutions. Since then, we've expanded to a full suite of products designed to help our clients turn their savings into long-term wealth, including: • A Cash Account that, through our partner banks, offers one of the highest annual percentage yields on uninvested cash in the industry, while providing instant and secure access to your money with no account fees and a full suite of checking features. • A zero-commission Stock Investing Account with 50+ handpicked collections that help DIY investors discover new companies and make smarter investing decisions. • Multiple automated investing portfolios designed to unlock tax savings through sophisticated strategies like fixed income, tax-loss harvesting, and direct indexing-which we offer at industry-leading low costs and accessible minimums. Our award-winning products have attracted over 1 million clients who trust us with more than $85 billion of their hard earned savings-and we're far from done. If you're inspired to help us reshape the financial industry as we create our next chapter, let's talk! For more information please visit ********************** are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Please review our candidate privacy notice. Disclosures: All investing involves risk, including the possible loss of principal. Tax-Loss Harvesting benefits vary depending on the client's entire tax and investment profile. Wealthfront doesn't provide tax advice. The Cash Account is offered by Wealthfront Brokerage LLC (“Wealthfront Brokerage”), Member of FINRA/SIPC. Wealthfront Brokerage is not a bank. We convey funds to partner banks who accept and maintain deposits, provide the variable interest rate, and provide access to FDIC pass-through insurance. Investment management and advisory services-which are not FDIC insured-are provided by Wealthfront Advisers LLC (“Wealthfront Advisers”), an SEC-registered investment adviser. The checking features offered in the Wealthfront Cash Account are provided by Green Dot Bank, Member FDIC. Fees and Eligibility requirements may apply to certain checking features, please see the Deposit Account Agreement for details. By “award-winning products”, please refer to *************************** for more information. Wealthfront Corporation oversees Total Client Assets and Trusted Clients through Wealthfront Advisers and Wealthfront Brokerage. Wealthfront Advisers and Wealthfront Brokerage are wholly owned subsidiaries of Wealthfront Corporation.

Economist - UZ07BE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. Reporting to the Head of The Global Insights Center, the Data Scientist Economist will be responsible for leveraging large internal and external data sets to create new economic indicators, trackers, and analytical tools to decipher macro and micro economic trends that are of relevance to the insurance sector. The candidate will conduct research on the US economy, and at times the global economy. The candidate will utilize sources of large data sets and build complex models to develop trends around these data points. This will include the creation of bespoke economic indicators that help assess and articulate economic trends at the national, state, and local level. These data sets and the output indicators and trends will be used to assess business risk in a manner that is relevant to insurance sector outcomes. The output will be used to provide risk advisory services for the firm's clients. Ideally, the candidate will have experience or knowledge with building and using complex econometric and related models. They will have strong knowledge of public economic data sources, and experience working with large sets of noneconomic data. They will have experience building bespoke indicators using a mix of data sources and often derive creative methods to create new economic indicators. The ideal candidate will be an expert in data science, using large data, modeling, and economics. The candidate will also have knowledge of artificial intelligence tools and how they leverage applications to scale up the delivery of their analysis and modeling. The candidate will work closely with, and support, the Head of the Global Insights Center to ensure that the output of their research and output aligns with the team and organization's goals and strategies. The candidate will also interface with the firm's leadership and underwriting units across the enterprise. The purpose will be to explain economic data and insights at the national and local level to help drive the firm's strategy and underwriting decisions. The candidate will contribute to the Insights Center various research publications, which will be distributed both internally and externally. In addition, the candidate will determine new avenues of conducting research, generating content, and building models that can further the firm's overall goals and initiatives. Responsibilities: * Develop bespoke economic indicators identifying unique trends and outcomes at the national, state, and local level broken out by industry. * Create information and analytics that can be used by internal and external stakeholders to identify business trends and risks. * Utilize creative methods to create a stronger understanding of economic risk, and its implications for industries/businesses in the US. * Correlate the findings to implications for the insurance sector. * Access publicly available economic data at the national, state, and local level and overlay with other noneconomic internally available data sets. * Create methods and systems to integrate and curate the various data sets from their sources. * Work with internal data engineering partners to source appropriate data. * Build models to create localized trends and the bespoke economic indicators. * Create presentations and determine unique new methods of displaying the data findings. * Develop views on the national, state, and local economies. * Ascertain new methods of injecting findings into the firm's operations, strategy, underwriting, and financial planning. * Join the team's leadership in meeting with clients to present findings and outlooks. * Develop presentations and briefings that can be utilized by the firm's external partners. * Contribute to the Global Insights Center's external research publications. * Prepare white papers outlining medium term views on key aspects of the US economy. Candidate Profile: * Ten plus years of relevant work experience as a data scientist or data engineer with a very strong knowledge of economics and quantitative techniques. * Candidates must be authorized to work in the US without company sponsorship * Experience turning large data sets into economic indicators * Experience at a financial institution, fintech firm, consulting firm, data science or data engineering firm, rating agency, or large corporation. * Strong understanding of the US economy. * Knowledge of building complex models. * Effective communication and writing skills to further research publications. * Experience briefing senior executives on complex topics. * Strong process management discipline. Establishes priorities, anticipates problems, determines completion dates, knows and communicates the status of assignments; manages time effectively; uses the services of others effectively. * Team player with a strong collaborative orientation; ability to build strong relationships across an organization. * Entrepreneurial and creative focus to determine new work streams, initiatives, and deliverables that could be of value to internal parties and external clients. * Ability to deal with ambiguity in a matrixed organization; ability to guide, influence and navigate effectively with different constituencies in achieving company goals. * Excellent written and verbal communications skills. * Degree in computer science, data science, math, or economics is preferred. This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our listed office locations will have the expectation of working in an office three days a week (Tuesday through Thursday). Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $140,800 - $211,200 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us | Our Culture | What It's Like to Work Here | Perks & Benefits

Economist - UZ07BE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future. Reporting to the Head of The Global Insights Center, the Data Scientist Economist will be responsible for leveraging large internal and external data sets to create new economic indicators, trackers, and analytical tools to decipher macro and micro economic trends that are of relevance to the insurance sector. The candidate will conduct research on the US economy, and at times the global economy. The candidate will utilize sources of large data sets and build complex models to develop trends around these data points. This will include the creation of bespoke economic indicators that help assess and articulate economic trends at the national, state, and local level. These data sets and the output indicators and trends will be used to assess business risk in a manner that is relevant to insurance sector outcomes. The output will be used to provide risk advisory services for the firm's clients. Ideally, the candidate will have experience or knowledge with building and using complex econometric and related models. They will have strong knowledge of public economic data sources, and experience working with large sets of noneconomic data. They will have experience building bespoke indicators using a mix of data sources and often derive creative methods to create new economic indicators. The ideal candidate will be an expert in data science, using large data, modeling, and economics. The candidate will also have knowledge of artificial intelligence tools and how they leverage applications to scale up the delivery of their analysis and modeling. The candidate will work closely with, and support, the Head of the Global Insights Center to ensure that the output of their research and output aligns with the team and organization's goals and strategies. The candidate will also interface with the firm's leadership and underwriting units across the enterprise. The purpose will be to explain economic data and insights at the national and local level to help drive the firm's strategy and underwriting decisions. The candidate will contribute to the Insights Center various research publications, which will be distributed both internally and externally. In addition, the candidate will determine new avenues of conducting research, generating content, and building models that can further the firm's overall goals and initiatives. Responsibilities: + Develop bespoke economic indicators identifying unique trends and outcomes at the national, state, and local level broken out by industry. + Create information and analytics that can be used by internal and external stakeholders to identify business trends and risks. + Utilize creative methods to create a stronger understanding of economic risk, and its implications for industries/businesses in the US. + Correlate the findings to implications for the insurance sector. + Access publicly available economic data at the national, state, and local level and overlay with other noneconomic internally available data sets. + Create methods and systems to integrate and curate the various data sets from their sources. + Work with internal data engineering partners to source appropriate data. + Build models to create localized trends and the bespoke economic indicators. + Create presentations and determine unique new methods of displaying the data findings. + Develop views on the national, state, and local economies. + Ascertain new methods of injecting findings into the firm's operations, strategy, underwriting, and financial planning. + Join the team's leadership in meeting with clients to present findings and outlooks. + Develop presentations and briefings that can be utilized by the firm's external partners. + Contribute to the Global Insights Center's external research publications. + Prepare white papers outlining medium term views on key aspects of the US economy. Candidate Profile: + Ten plus years of relevant work experience as a data scientist or data engineer with a very strong knowledge of economics and quantitative techniques. + Candidates must be authorized to work in the US without company sponsorship + Experience turning large data sets into economic indicators + Experience at a financial institution, fintech firm, consulting firm, data science or data engineering firm, rating agency, or large corporation. + Strong understanding of the US economy. + Knowledge of building complex models. + Effective communication and writing skills to further research publications. + Experience briefing senior executives on complex topics. + Strong process management discipline. Establishes priorities, anticipates problems, determines completion dates, knows and communicates the status of assignments; manages time effectively; uses the services of others effectively. + Team player with a strong collaborative orientation; ability to build strong relationships across an organization. + Entrepreneurial and creative focus to determine new work streams, initiatives, and deliverables that could be of value to internal parties and external clients. + Ability to deal with ambiguity in a matrixed organization; ability to guide, influence and navigate effectively with different constituencies in achieving company goals. + Excellent written and verbal communications skills. + Degree in computer science, data science, math, or economics is preferred. This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our listed office locations will have the expectation of working in an office three days a week (Tuesday through Thursday). Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Compensation The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is: $140,800 - $211,200 Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age About Us (************************************* | Our Culture (******************************************************* | What It's Like to Work Here (************************************************** | Perks & Benefits (********************************************* Every day, a day to do right. Showing up for people isn't just what we do. It's who we are - and have been for more than 200 years. We're devoted to finding innovative ways to serve our customers, communities and employees-continually asking ourselves what more we can do. Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable? That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined. And while how we contribute looks different for each of us, it's these values that drive all of us to do more and to do better every day. 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