Analytical Data Miner jobs at Wells Fargo - 26 jobs

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. **Team Description** Velocity Black by Capital One harnesses the power of artificial intelligence, the warmth of human experts and the convenience of the latest interfaces to help high-performance people actualize the full potential of their lives. It's concierge, reimagined for the digital age. By harnessing 24/7 chat, AI, and mobile payments, we help our customers do more and be more in the digital age. From access to the hottest restaurants to guaranteed upgrades at the world's finest resorts. Make a custom request through the app and you will be chatting to our team within 1 minute, 24/7/365. Velocity Black is on a mission to leverage technology to improve our operational efficacy and provide an extraordinary member experience. The Velocity Black AI and ML team is building the models that help provide personalized recommendations for our members. Our solutions are both: + Reactive: Match member requests to the best possible options based on their stated request parameters, preferences, and historical behavior, as well as incorporating the expertise of our human agents. + Proactive: Surface tailored, curated recommendations in-app, where content is filtered and personalized to each individual member, anticipating their needs and inspiring new booking experiences with us. The team is a combination of product managers, engineers, business analysts, and data scientists working in tandem to building AI/ML solutions from the ground up to help scale and improve our Velocity Black services. We are looking for someone passionate about digital servicing, customer experience, and personalization to work on our Velocity Black Concierge product. **Role Description** **In this role, you will:** + Lead the design, development, and maintenance of personalization and recommendation models. + Apply modern AI/ML methods (e.g. collaborative filtering, ensemble retrievers, embeddings, neural networks, LLM as a judge, etc.) to optimize and elevate member experiences + Collaborate with product/business and engineering to integrate models into our platform, including model registration and ongoing measurement. + Develop evaluation frameworks to monitor performance, bias, and accuracy of recommendations. + Champion data-driven decision making across the team. **The Ideal Candidate is:** + Customer first. You love the process of analyzing and creating, and you care about the user of the systems you create. You know at the end of the day it's about providing tooling to support our agents and enhancements to delight our customers. + Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and brainstorming various technical methods and designs to find the best solutions. You're not afraid to share a new idea. + A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo to advance us to the most cutting edge methods. You're passionate about talent development for your own team and beyond. + Technical. You're comfortable with all things model development, including from pulling together model input data from various sources to deciding on the appropriate methodology to helping to implement use cases within thoughtful architecture designs. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. + A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. **Basic Qualifications:** + Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: + A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics + A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics + A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics + At least 1 years of experience leveraging open source programming languages for large scale data analysis + At least 1 year of experience working with machine learning + At least 1 year of experience utilizing relational databases **Preferred Qualifications:** + PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) + Strong proficiency in Python and SQL for large scale data analysis + At least 1 year of experience preparing and transforming large, messy, or sparse datasets for modeling + At least 1 year of experience designing, training, and deploying large-scale models in production + At least 1 year of experience in model lifecycle management and ML ops practices (monitoring, feature stores, retraining, experimentation, and A/B testing) + At least 1 year of experience collaborating cross-functionally with product and engineering to translate business problems into ML solutions + Familiarity with sophisticated ML approaches to personalization models or recommendation systems + Demonstrated ability to influence stakeholders and lead technical strategy Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. Capital One is open to hiring a Remote Employee for this opportunity The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $175,800 - $200,700 for Mgr, Data Science McLean, VA: $193,400 - $220,700 for Mgr, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website (******************************************* . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Come join us in reshaping the future! The Chase Sales Analytics team supports the executives that lead the Consumer Bank to analyze and optimize the sales function at Chase branches. The team provides expertise in data science & analytics to optimize sales performance for our bankers across the firm. The team leverages industry-leading tools, processes , and skills to convert data into meaningful insights that enable sales leadership to drive value and an excellent customer experience for their business programs. We are seeking a Senior Associate to join the Analytics team dedicated to client assignment and ongoing contact optimization. This role will become the in-house expert in developing ways to optimize banker/client relationships and contact within the branch. Job Responsibilities: Help develop and drive optimization roadmap for sales and banker portfolio functions using Machine Learning frameworks. Utilize advanced analytics to identify opportunities and support our bankers' as they build lasting relationships to help clients navigate their financial needs over time. Independently manage projects end-to-end, from ideation to implementation, keeping all relevant stakeholders informed. Use data analysis tools/platforms (SQL, R/Python, Snowflake, AWS, Airflow & Hadoop) to analyze data from multiple sources. Perform ad-hoc analyses for outreach performance, trend analysis, other analyses, as required. Implement models that allow for optimized in-branch servicing and sales while also managing other needs such as day to day foot traffic. Work with strategy partners to balance a strong experimentation environment with the need for quick, informed business decisions. Required qualifications, capabilities and skills: Relevant experience of 3+ years and a Bachelors or Masters in related field, preferably Financial Services. 3+ years of experience with optimization and machine learning models design and implementation - can be in a marketing, operational , or digital setting. Expertise implementing next-gen models using machine learning. Excellent written and verbal communications skills with the ability to work and collaborate with internal and external partners. Problem-solving skills are essential. Must be able to think outside the box to implement creative solutions that solve business problems without sacrificing experimentation integrity. Proven ability to work in a fast-paced environment, meet deadlines. Must be detail oriented, organized, and perform at high standards . Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans Base Pay/Salary Chicago,IL $114,000.00 - $165,000.00 / year

Come join us in reshaping the future! The Chase Sales Analytics team supports the executives that lead the Consumer Bank to analyze and optimize the sales function at Chase branches. The team provides expertise in data science & analytics to optimize sales performance for our bankers across the firm. The team leverages industry-leading tools, processes , and skills to convert data into meaningful insights that enable sales leadership to drive value and an excellent customer experience for their business programs. We are seeking a Senior Associate to join the Analytics team dedicated to client assignment and ongoing contact optimization. This role will become the in-house expert in developing ways to optimize banker/client relationships and contact within the branch. **Job Responsibilities:** + Help develop and drive optimization roadmap for sales and banker portfolio functions using Machine Learning frameworks. + Utilize advanced analytics to identify opportunities and support our bankers' as they build lasting relationships to help clients navigate their financial needs over time. + Independently manage projects end-to-end, from ideation to implementation, keeping all relevant stakeholders informed. + Use data analysis tools/platforms (SQL, R/Python, Snowflake, AWS, Airflow & Hadoop) to analyze data from multiple sources. + Perform ad-hoc analyses for outreach performance, trend analysis, other analyses, as required. + Implement models that allow for optimized in-branch servicing and sales while also managing other needs such as day to day foot traffic. + Work with strategy partners to balance a strong experimentation environment with the need for quick, informed business decisions. **Required qualifications, capabilities and skills:** + Relevant experience of 3+ years and a Bachelors or Masters in related field, preferably Financial Services. + 3+ years of experience with optimization and machine learning models design and implementation - can be in a marketing, operational , or digital setting. + Expertise implementing next-gen models using machine learning. + Excellent written and verbal communications skills with the ability to work and collaborate with internal and external partners. + Problem-solving skills are essential. + Must be able to think outside the box to implement creative solutions that solve business problems without sacrificing experimentation integrity. + Proven ability to work in a fast-paced environment, meet deadlines. Must be detail oriented, organized, and perform at high standards . Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans **Base Pay/Salary** Chicago,IL $114,000.00 - $165,000.00 / year

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.

As a Principal Data Scientist, you will lead the strategic application of Generative AI across the bank, leveraging Large Language Models (LLMs) to drive innovation, improve operational efficiency, and enhance customer and employee experiences. This role requires deep expertise in NLP, hands-on experience with Generative AI tools, and the ability to guide teams in responsibly integrating these technologies into business processes. Key Responsibilities * Lead the design and implementation of solutions using LLMs and Generative AI tools for complex workflows and processes. * Partner with business, risk, compliance, and technology teams to identify high-impact use cases and ensure responsible AI deployment. * Guide data preparation efforts, including sourcing, cleaning, and structuring data for LLM input and evaluation. * Evaluate model performance, conduct error analysis, and iterate on prompt engineering and fine-tuning strategies where applicable. * Stay ahead of emerging trends in Generative AI and NLP, and assess their relevance to banking applications. * Mentor junior data scientists and contribute to the development of best practices for AI adoption across the organization. * Communicate technical concepts and findings clearly to executive stakeholders, regulators, and cross-functional teams. Qualifications * Required: * 7+ years of experience in data science, machine learning, or applied AI. * Proven experience applying Generative AI and LLMs in production or pilot environments. * Strong proficiency in Python and experience with NLP libraries and frameworks (e.g., LangChain, Autogen, Strands, etc.). * Deep understanding of NLP techniques and their practical applications. * Experience working with unstructured data and integrating AI solutions into business workflows. * Strong communication and leadership skills, including technical writing and stakeholder engagement. * Preferred: * Experience with prompt engineering, model evaluation, and LLM orchestration. * Familiarity with cloud platforms and MLOps tools. * Experience interacting with model validation teams and regulators. Education * Required: Master's or Ph.D. in Computer Science, Mathematics, Statistics, or a related field. Hours & Work Schedule * Hours per Week: 40 * Work Schedule: Monday - Friday * Hybrid: 4 days on site at a Citizens Corporate Office, 1 day remote #LI-Citizens1 Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance. Equal Employment Opportunity Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability. Background Check Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information. Benefits We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. View Benefits Awards We've Received Age-Friendly Institute's Certified Age-Friendly Employer The Banker's US Bank of the Year Dave Thomas Foundation's Best Adoption-Friendly Workplace Disability:IN Best Places to Work for Disability Inclusion Human Rights Campaign Corporate Equality Index 100 Award

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. **Team Description** Velocity Black by Capital One harnesses the power of artificial intelligence, the warmth of human experts and the convenience of the latest interfaces to help high-performance people actualize the full potential of their lives. It's concierge, reimagined for the digital age. By harnessing 24/7 chat, AI, and mobile payments, we help our customers do more and be more in the digital age. From access to the hottest restaurants to guaranteed upgrades at the world's finest resorts. Make a custom request through the app and you will be chatting to our team within 1 minute, 24/7/365. Velocity Black is on a mission to leverage technology to improve our operational efficacy and provide an extraordinary member experience. The Velocity Black AI and ML team is building the models that help provide personalized recommendations for our members. Our solutions are both: + Reactive: Match member requests to the best possible options based on their stated request parameters, preferences, and historical behavior, as well as incorporating the expertise of our human agents. + Proactive: Surface tailored, curated recommendations in-app, where content is filtered and personalized to each individual member, anticipating their needs and inspiring new booking experiences with us. The team is a combination of product managers, engineers, business analysts, and data scientists working in tandem to building AI/ML solutions from the ground up to help scale and improve our Velocity Black services. We are looking for someone passionate about digital servicing, customer experience, and personalization to work on our Velocity Black Concierge product. **Role Description** **In this role, you will:** + Lead the design, development, and maintenance of personalization and recommendation models. + Apply modern AI/ML methods (e.g. collaborative filtering, ensemble retrievers, embeddings, neural networks, LLM as a judge, etc.) to optimize and elevate member experiences + Collaborate with product/business and engineering to integrate models into our platform, including model registration and ongoing measurement. + Develop evaluation frameworks to monitor performance, bias, and accuracy of recommendations. + Champion data-driven decision making across the team. **The Ideal Candidate is:** + Customer first. You love the process of analyzing and creating, and you care about the user of the systems you create. You know at the end of the day it's about providing tooling to support our agents and enhancements to delight our customers. + Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and brainstorming various technical methods and designs to find the best solutions. You're not afraid to share a new idea. + A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo to advance us to the most cutting edge methods. You're passionate about talent development for your own team and beyond. + Technical. You're comfortable with all things model development, including from pulling together model input data from various sources to deciding on the appropriate methodology to helping to implement use cases within thoughtful architecture designs. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. + A data guru. "Big data" doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. **Basic Qualifications:** + Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: + A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics + A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics + A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics + At least 1 years of experience leveraging open source programming languages for large scale data analysis + At least 1 year of experience working with machine learning + At least 1 year of experience utilizing relational databases **Preferred Qualifications:** + PhD in "STEM" field (Science, Technology, Engineering, or Mathematics) + Strong proficiency in Python and SQL for large scale data analysis + At least 1 year of experience preparing and transforming large, messy, or sparse datasets for modeling + At least 1 year of experience designing, training, and deploying large-scale models in production + At least 1 year of experience in model lifecycle management and ML ops practices (monitoring, feature stores, retraining, experimentation, and A/B testing) + At least 1 year of experience collaborating cross-functionally with product and engineering to translate business problems into ML solutions + Familiarity with sophisticated ML approaches to personalization models or recommendation systems + Demonstrated ability to influence stakeholders and lead technical strategy Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. Capital One is open to hiring a Remote Employee for this opportunity The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $175,800 - $200,700 for Mgr, Data Science McLean, VA: $193,400 - $220,700 for Mgr, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website (******************************************* . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. Team Description Velocity Black by Capital One harnesses the power of artificial intelligence, the warmth of human experts and the convenience of the latest interfaces to help high-performance people actualize the full potential of their lives. It's concierge, reimagined for the digital age. By harnessing 24/7 chat, AI, and mobile payments, we help our customers do more and be more in the digital age. From access to the hottest restaurants to guaranteed upgrades at the world's finest resorts. Make a custom request through the app and you will be chatting to our team within 1 minute, 24/7/365. Velocity Black is on a mission to leverage technology to improve our operational efficacy and provide an extraordinary member experience. The Velocity Black AI and ML team is building the models that help provide personalized recommendations for our members. Our solutions are both: Reactive: Match member requests to the best possible options based on their stated request parameters, preferences, and historical behavior, as well as incorporating the expertise of our human agents. Proactive: Surface tailored, curated recommendations in-app, where content is filtered and personalized to each individual member, anticipating their needs and inspiring new booking experiences with us. The team is a combination of product managers, engineers, business analysts, and data scientists working in tandem to building AI/ML solutions from the ground up to help scale and improve our Velocity Black services. We are looking for someone passionate about digital servicing, customer experience, and personalization to work on our Velocity Black Concierge product. Role Description In this role, you will: Lead the design, development, and maintenance of personalization and recommendation models. Apply modern AI/ML methods (e.g. collaborative filtering, ensemble retrievers, embeddings, neural networks, LLM as a judge, etc.) to optimize and elevate member experiences Collaborate with product/business and engineering to integrate models into our platform, including model registration and ongoing measurement. Develop evaluation frameworks to monitor performance, bias, and accuracy of recommendations. Champion data-driven decision making across the team. The Ideal Candidate is: Customer first. You love the process of analyzing and creating, and you care about the user of the systems you create. You know at the end of the day it's about providing tooling to support our agents and enhancements to delight our customers. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and brainstorming various technical methods and designs to find the best solutions. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo to advance us to the most cutting edge methods. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with all things model development, including from pulling together model input data from various sources to deciding on the appropriate methodology to helping to implement use cases within thoughtful architecture designs. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. A data guru. “Big data” doesn't faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 6 years of experience performing data analytics A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 4 years of experience performing data analytics A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 1 year of experience performing data analytics At least 1 years of experience leveraging open source programming languages for large scale data analysis At least 1 year of experience working with machine learning At least 1 year of experience utilizing relational databases Preferred Qualifications: PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) Strong proficiency in Python and SQL for large scale data analysis At least 1 year of experience preparing and transforming large, messy, or sparse datasets for modeling At least 1 year of experience designing, training, and deploying large-scale models in production At least 1 year of experience in model lifecycle management and ML ops practices (monitoring, feature stores, retraining, experimentation, and A/B testing) At least 1 year of experience collaborating cross-functionally with product and engineering to translate business problems into ML solutions Familiarity with sophisticated ML approaches to personalization models or recommendation systems Demonstrated ability to influence stakeholders and lead technical strategy Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. Capital One is open to hiring a Remote Employee for this opportunity The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $175,800 - $200,700 for Mgr, Data Science McLean, VA: $193,400 - $220,700 for Mgr, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

JobID: 210669784 JobSchedule: Full time JobShift: : As part of our team, you'll help modernize our data environment and unlock new opportunities for career growth and skill development. As a Domain Data Architect in the Finance Data Mart team, you will partner with Technology and Product teams to design and deliver data domains using Databricks. You will enable the Finance function to access and analyze essential data, supporting business needs across banking, wealth management, credit cards, auto lending, and home lending. You will collaborate closely with stakeholders to make data discoverable and actionable, fostering a culture of informed decision-making and continuous improvement. You will work within a dynamic, cross-functional team, contributing to the transformation of our data architecture and integration processes. Your expertise will help ensure our data solutions remain robust, scalable, and aligned with industry best practices, supporting the analytical and reporting needs of the Finance organization. Job Responsibilities * Implement and optimize the Finance Data Mart using Databricks and ThoughtSpot for analytics and reporting * Design efficient data mart schemas consolidating key data categories from multiple source systems * Collaborate with data engineers, analysts, and technical specialists to gather and analyze business requirements * Develop and optimize ETL processes and data pipelines using Databricks * Partner with Area Product teams and stakeholders to design reporting and analytics solutions * Apply design-led thinking to make data discoverable and accessible for analytical needs * Maintain documentation on data mart architecture, data models, ETL processes, and governance policies * Stay current on industry best practices and emerging trends in data management * Ensure alignment of data solutions with organizational objectives * Support the Finance function across diverse business areas * Foster a collaborative and innovative team environment Required Qualifications, Capabilities, and Skills * Minimum seven years of experience in data architecture, data warehousing, and data integration in financial services * Bachelor's degree in Computer Science, Information Systems, or related discipline * Expertise in designing scalable data mart architectures, including star and snowflake schemas * Strong knowledge of data management, data lineage, and data dictionaries * Proven track record in managing and delivering complex data projects * Strong written and verbal communication skills * Proficiency in SQL, Data Modeling, and ERWIN Preferred Qualifications, Capabilities, and Skills * Strong knowledge of Amazon Web Services; AWS Certifications preferred * Experience with Databricks, Snowflake, or other cloud data warehouses * Experience with market-leading data catalog systems * Experience with ThoughtSpot, Sigma, Tableau, Alteryx, or Essbase a plus

JobID: 210694005 JobSchedule: Full time JobShift: : Join our Data Analytics Reporting Team (DART) to build modular agentic components and ship production-ready AI features. You'll leverage Python, AWS, and leading agentic frameworks to automate workflows, scale securely, and deliver measurable business outcomes. As a Data Scientist Associate Sr within the Data Analytics Reporting Team at JPMorganChase, you will design, build, and maintain modular components for agentic systems that automate and orchestrate workflows across business platforms. You will own workstreams and Jira stories, delivering high-quality, scalable Python code and features within larger AI/ML initiatives. You will containerize and deploy solutions to cloud environments using Docker and infrastructure as code with Terraform, and collaborate closely with cross-functional partners to integrate agentic capabilities into existing systems. You will stay current on agentic frameworks such as LangGraph, Google ADK, and AutoGen, as well as LLMs and GenAI techniques including retrieval-augmented generation, applying them pragmatically to solve business problems. You will document designs, communicate progress and technical concepts to stakeholders, and uphold code quality, security, and compliance through testing and peer reviews. Exposure to Kubernetes and EKS, MLOps tooling, and core AWS services (S3, RDS, CloudFormation) will help you drive resilient, production-grade solutions aligned to business goals Job Responsibilities * Build, test, and maintain modular components for agentic systems, enabling intelligent automation and orchestration within business platforms. * Take ownership of individual workstreams and Jira stories, delivering high-quality code and features as part of larger AI/ML initiatives. * Work closely with team members to integrate agentic capabilities into existing systems and support solution delivery. * Containerize and deploy agentic system components on cloud platforms, following established DevOps and infrastructure-as-code practices. * Stay current with advancements in agentic frameworks (e.g., LangGraph, Google ADK, AutoGen), LLMs, and GenAI, and apply these technologies to assigned tasks and features. * Document design decisions, implementation details, and results; communicate progress and technical concepts to team members and stakeholders. * Ensure code quality, security, and compliance through testing, peer reviews, and adherence to best practices Required Qualifications, Capabilities, and Skills * Bachelor's degree with 3+ years' experience or Master's degree with 1+ year experience in a quantitative field (e.g., Computer Science, Data Science, Applied Mathematics, Statistics, Engineering). * Hands-on experience developing and delivering agentic system components or autonomous AI features in production environments. * Strong Python programming skills, with a focus on modular, scalable, and maintainable code. * Experience with AWS cloud platform. * Familiarity with agentic frameworks (LangGraph, Google ADK, AutoGen) and integrating AI capabilities into business processes. * Ability to work collaboratively in agile, cross-functional teams and deliver on assigned workstreams. * Excellent problem-solving, communication, and documentation skills. * Exposure to agentic system design patterns, orchestration, and workflow automation. Preferred Qualifications, Capabilities, and Skills * Experience with Large Language Models (LLMs), GenAI, and retrieval-augmented generation (RAG). * Experience with distributed computing, cloud orchestration (Kubernetes, EKS), and MLOps tools. * Financial services industry experience. * Ability to design and evaluate autonomous system features aligned with business goals. * Experience with additional cloud services (EKS, S3, RDS, CloudFormation). * Experience with containerization (Docker), and infrastructure as code (Terraform). This role is 5 days a week in office full time. This role is not hybrid nor remote. This role is not eligible for any visa sponsorship or transfer support at this time.

JobID: 210692669 JobSchedule: Full time JobShift: : Join an award winning Home Lending Optimization & Solutions team, you'll join an organization that applies ML/AI products & solutions across Sales, Operations, & Marketing. Your ability to understand business requirements and translate them to a proposed solution will be a key to your success. You'll utilize strong communication skills to effectively operate in direct collaboration with key stakeholders across functions and lines-of-business. Job responsibilities * Understand and translate business needs into data models supporting long-term solutions * Convert data into actionable insights * Develop presentations to summarize and communicate key messages to senior management, sponsors, and colleagues * Leverage a variety of statistical and mathematical techniques and algorithms to analyze a variety of datasets to solve complex business problems Required qualifications, capabilities, and skills * 3+ years' experience working in an analytical role * BS degree in a related field, such as Data Science, Engineering, Applied Mathematics, Statistics, or similar STEM discipline * Experience using statistical programming languages (Python) to manipulate data, draw insights, and build prototype solutions * Strong storytelling capabilities * Adept at explaining and converting complex concepts into digestible information to be consumed by audiences at various levels of the business Preferred qualifications, capabilities, and skills * Master's Degree * Functional industry experience in finance, operations, sales, marketing, or credit/risk * Knowledge of the mortgage industry

JobID: 210680498 JobSchedule: Full time JobShift: Day : Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance, you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about thinking outside the box, challenging the status quo and striving to be best-in-class. As a Senior Associate Data Scientist in the Chase-360 Payment Analytics team, you will leverage cross-LOB customer data to generate insights into the health of consumers and small businesses, inform and influence credit strategy across consumer and business banking lending products, and develop attributes to support credit models and strategy. You are a self-starter who thrives in a fast-paced, dynamic environment. You are intellectually curious, always asking "why" and "what if," and challenging assumptions to uncover deeper insights. You demonstrate learning agility, quickly mastering new concepts and technologies. You display confidence and aptitude to own and drive ambiguous problems to scalable solutions. Job Responsibilities * Utilize skills in data analysis, modeling, data engineering, and project management to initiate, develop, and complete advanced analytics projects. * Perform credit-focused analytics to identify, quantify, and monitor risks in consumers and small businesses, leveraging diverse, large internal data sources. * Translate complex data into clear, actionable insights that inform strategic decisions. * Deliver regular, time-critical, high-impact reports, dashboards, and presentations to Consumer and Community Banking (CCB) Risk leadership. * Conduct independent research on emerging risks relevant to consumers and small businesses, proactively addressing new challenges and opportunities. * Analyze external publications from peers and other data releases to continually deliver insights and perspectives tailored to the needs of CCB Risk leadership. * Communicate findings and recommendations effectively to business partners across Card, Auto, Home Lending, and Business Banking teams. * Stay up to date on industry trends, macroeconomic developments, technological advances, and best practices in risk analytics. Required qualifications, capabilities, and skills * Advanced degree in statistics, econometrics, or a related quantitative field, with 3+ years of Financial Services or quantitative experience; alternatively, BS degree with a minimum of 5 years relevant experience. * Strong background in Python and SQL. * Proficient in Microsoft Office suite of products. * Demonstrated analytical and problem-solving skills across conceptualization and execution of analytics oriented projects. * Ability to synthesize diverse information and develop actionable recommendation. * Ability to manage and prioritize competing activities and achieve tight timelines on complex deliverables. * Ability to communicate complex findings clearly in both in written format and verbally to technical and non-technical audiences. Preferred qualifications, capabilities, and skills * MS degree preferred

JobID: 210694296 JobSchedule: Full time JobShift: : This is your chance to change the path of your career and work at one of the world's leading financial institutions. As a Python/Java Software Engineer III at JPMorgan Chase within the Consumer & Community Banking/Data Products team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job Responsibilities: * Demonstrate python development experience, including modular coding, creating reusable classes, logging, and testing * Understand PySpark or distributed data processing frameworks * Exhibit Proficiency in writing DBT macros, jinja templates, seeds, and custom test cases * Have Experience with Airflow on MWAA, Astronomer or Kubernetes * Show Proficiency with Glue jobs, Athena, Cloud watch, and Lambda * Working knowledge of Terraform for infrastructure automation * Apply Understanding of Iceberg, Hudi or Delta Lake and their role in data-lake architecture. * Possess Ability to query and manage open-table format datasets. * Designing and optimizing ETL/ELT pipelines. * Demonstrate Knowledge of snowflake streams, tasks, roles, and warehouses. * Utilize Experience with version control like GIT, testing frameworks, and code reviews Required qualifications, capabilities, and skills * Formal training or certification on software engineering concepts and 3+ years of applied experience * Proficiency in Python/Java technology * Hands-on practical experience in system design, application development, testing, and operational stability * Proficient in coding in one or more languages such as Python/Java * Experience in building solutions using cloud technologies like AWS * Exposure to message streaming technologies such KAFKA/FLINK * Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages. * Overall knowledge of the Software Development Life Cycle * Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security * Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

JobID: 210688620 JobSchedule: Full time JobShift: : Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference. As a Lead Data Engineer at JPMorgan Chase within the Global Technology Enterprise Software Asset Management team, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm's business objectives. Job Responsibilities * Lead data management strategies in collaboration with business stakeholders, transforming data into insights that drive strategic decisions and organizational actions. * Design, develop, and optimize ETL/ELT pipelines using SQL, Python, and PySpark for large-scale, complex data environments. * Implement scalable data processing workflows in data lake platforms such as Databricks or Spark, ensuring efficient and reliable data operations. * Ensure data quality, consistency, security, and lineage throughout all stages of data processing and transformation. * Support data migration and modernization initiatives, transitioning legacy systems to cloud-based data warehouses. * Document data flows, logic, and transformation rules to maintain transparency and facilitate knowledge sharing across teams. * Troubleshoot and resolve performance and quality issues in both batch and real-time data pipelines. * Review existing data challenges and deliver comprehensive solutions by applying appropriate data strategies and tools. Required Qualifications, capabilities and skills * Proven experience in data management, ETL/ELT pipeline development, and large-scale data processing. * Proficiency in SQL, Python, and PySpark. * Hands-on experience with data lake platforms (Databricks, Spark, or similar). * Strong understanding of data quality, security, and lineage best practices. * Experience with cloud-based data warehouse migration and modernization. * Excellent problem-solving and troubleshooting skills. * Strong communication and documentation abilities. * Ability to collaborate effectively with business and technical stakeholders.

Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference. As a Lead Data Engineer at JPMorgan Chase within the Global Technology Enterprise Software Asset Management team, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm's business objectives. Job Responsibilities Lead data management strategies in collaboration with business stakeholders, transforming data into insights that drive strategic decisions and organizational actions. Design, develop, and optimize ETL/ELT pipelines using SQL, Python, and PySpark for large-scale, complex data environments. Implement scalable data processing workflows in data lake platforms such as Databricks or Spark, ensuring efficient and reliable data operations. Ensure data quality, consistency, security, and lineage throughout all stages of data processing and transformation. Support data migration and modernization initiatives, transitioning legacy systems to cloud-based data warehouses. Document data flows, logic, and transformation rules to maintain transparency and facilitate knowledge sharing across teams. Troubleshoot and resolve performance and quality issues in both batch and real-time data pipelines. Review existing data challenges and deliver comprehensive solutions by applying appropriate data strategies and tools. Required Qualifications, capabilities and skills Proven experience in data management, ETL/ELT pipeline development, and large-scale data processing. Proficiency in SQL, Python, and PySpark. Hands-on experience with data lake platforms (Databricks, Spark, or similar). Strong understanding of data quality, security, and lineage best practices. Experience with cloud-based data warehouse migration and modernization. Excellent problem-solving and troubleshooting skills. Strong communication and documentation abilities. Ability to collaborate effectively with business and technical stakeholders.

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. As a Lead Software Engineer at JPMorganChase within the Consumer and Community Banking Customer Acquisition and Marketing Platforms team, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for developing and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm's business objectives. Job responsibilities Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Design, develop, and optimize ETL pipelines for large-scale, complex data environments using Spark or similar framework Develops secure high-quality production code, and reviews and debugs code written by others Work in an Agile development environment with team members, including Product Owners and Data Owners Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems Serve as a subject matter expert in one or more areas of focus and actively contribute to the engineering community as an advocate of firmwide frameworks, tools, and practices of the end-to-end development life cycle Ensure quality and completeness of the product through unit, component, integration, and end-to-end testing Influence peers and project decision makers to consider the use and application of leading-edge technologies Adds to team culture of diversity, opportunity, inclusion, and respect Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience 5+ years of hands-on experience in Java, Spring and Spring Boot 2+ years of hands-on experience with AWS especially Terraform, ECS, and Lambda 2+ years of hands-on experience with databases (MySQL, PostgreSQL, Cassandra) and above average with database fundamentals - can write complex queries, understands how to organize data, and troubleshoot performance issues Proven experience in data management, ETL pipeline development, and data processing Understand next generation messaging and streaming technologies such as Kafka Strong understanding of data quality, security, and lineage best practices Collaborate with various stakeholders and independently tackle design and functionality challenges with minimal oversight Hands-on practical experience delivering system design, application development, testing, and operation stability Excellent problem solving and analytical skills with strong customer focus Strong verbal and written communication skills Preferred qualifications, capabilities, and skills Experience with cloud-based data warehouse migration and modernization Experience using Snowflake, Databricks or a similar PaaS offering Strong Python experience, especially in the context of developing Data solutions for large financial platforms Experience with Agentic technologies including design and implementation of production-grade solutions

Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference. As a Lead Data Engineer at JPMorgan Chase within the Global Technology Enterprise Software Asset Management team, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm's business objectives. **Job Responsibilities** + Lead data management strategies in collaboration with business stakeholders, transforming data into insights that drive strategic decisions and organizational actions. + Design, develop, and optimize ETL/ELT pipelines using SQL, Python, and PySpark for large-scale, complex data environments. + Implement scalable data processing workflows in data lake platforms such as Databricks or Spark, ensuring efficient and reliable data operations. + Ensure data quality, consistency, security, and lineage throughout all stages of data processing and transformation. + Support data migration and modernization initiatives, transitioning legacy systems to cloud-based data warehouses. + Document data flows, logic, and transformation rules to maintain transparency and facilitate knowledge sharing across teams. + Troubleshoot and resolve performance and quality issues in both batch and real-time data pipelines. + Review existing data challenges and deliver comprehensive solutions by applying appropriate data strategies and tools. **Required Qualifications, capabilities and skills** + Proven experience in data management, ETL/ELT pipeline development, and large-scale data processing. + Proficiency in SQL, Python, and PySpark. + Hands-on experience with data lake platforms (Databricks, Spark, or similar). + Strong understanding of data quality, security, and lineage best practices. + Experience with cloud-based data warehouse migration and modernization. + Excellent problem-solving and troubleshooting skills. + Strong communication and documentation abilities. + Ability to collaborate effectively with business and technical stakeholders. JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

This is your chance to change the path of your career and work at one of the world's leading financial institutions. As a Python/Java Software Engineer III at JPMorgan Chase within the Consumer & Community Banking/Data Products team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. Job Responsibilities: Demonstrate python development experience, including modular coding, creating reusable classes, logging, and testing Understand PySpark or distributed data processing frameworks Exhibit Proficiency in writing DBT macros, jinja templates, seeds, and custom test cases Have Experience with Airflow on MWAA, Astronomer or Kubernetes Show Proficiency with Glue jobs, Athena, Cloud watch, and Lambda Working knowledge of Terraform for infrastructure automation Apply Understanding of Iceberg, Hudi or Delta Lake and their role in data-lake architecture. Possess Ability to query and manage open-table format datasets. Designing and optimizing ETL/ELT pipelines. Demonstrate Knowledge of snowflake streams, tasks, roles, and warehouses. Utilize Experience with version control like GIT, testing frameworks, and code reviews Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 3+ years of applied experience Proficiency in Python/Java technology Hands-on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages such as Python/Java Experience in building solutions using cloud technologies like AWS Exposure to message streaming technologies such KAFKA/FLINK Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages. Overall knowledge of the Software Development Life Cycle Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

This is your chance to change the path of your career and work at one of the world's leading financial institutions. As a Python/Java Software Engineer III at JPMorgan Chase within the Consumer & Community Banking/Data Products team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. **Job Responsibilities:** + Demonstrate python development experience, including modular coding, creating reusable classes, logging, and testing + Understand PySpark or distributed data processing frameworks + Exhibit Proficiency in writing DBT macros, jinja templates, seeds, and custom test cases + Have Experience with Airflow on MWAA, Astronomer or Kubernetes + Show Proficiency with Glue jobs, Athena, Cloud watch, and Lambda + Working knowledge of Terraform for infrastructure automation + Apply Understanding of Iceberg, Hudi or Delta Lake and their role in data-lake architecture. + Possess Ability to query and manage open-table format datasets. + Designing and optimizing ETL/ELT pipelines. + Demonstrate Knowledge of snowflake streams, tasks, roles, and warehouses. + Utilize Experience with version control like GIT, testing frameworks, and code reviews **Required qualifications, capabilities, and skills** + Formal training or certification on software engineering concepts and 3+ years of applied experience + Proficiency in Python/Java technology + Hands-on practical experience in system design, application development, testing, and operational stability + Proficient in coding in one or more languages such as Python/Java + Experience in building solutions using cloud technologies like AWS + Exposure to message streaming technologies such KAFKA/FLINK + Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages. + Overall knowledge of the Software Development Life Cycle + Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security + Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans

Job responsibilities + Provide direction, oversight, and coaching for a team of entry-level to mid-level engineers working on basic to moderately complex tasks. + Executes solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems + Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and translate them into effective visual solutions. + Work in an Agile development environment with team members, including Product Managers,SRE Engineers. + Develop secure, high-quality production code, review and debug code written by others, and drive decisions influencing product design, application functionality, and technical operations. + Serve as a subject matter expert in one or more areas of focus and actively contribute to the engineering community as an advocate of firmwide frameworks, tools, and practices of the end to end Development Life Cycle. + Influence peers and project decision-makers to consider the use and application of leading-edge technologies. + Stay current with industry trends and emerging technologies in Data Management, Artificial Intelligence and Machine Learning. Required qualifications, capabilities, and skills + 5+ years applied experience in data engineering. In addition, demonstrated coaching and mentoring experience. + Hands-on experience in writing code using Python libraries such as Pandas, Boto3, PySpark, and Jupyter Notebooks, along with AWS services including Glue, S3, Kafka, and Kubernetes + Hands-on practical experience delivering system design, application development, testing, and operational stability. + Collaborate with various stakeholders and independently tackle design and functionality challenges with minimal oversight + Proficient in automation and continuous delivery methods. + Skilled in resolving code issues and proficient in Git for managing repositories and team collaboration. + Experience and proficiency across the data lifecycle + Evaluates and reports on access control processes to determine effectiveness of data asset security with minimal supervision + Advanced understanding of agile methodologies, Application Resiliency, and Security + Bachelor's degree in data science, Computer Science, Information Systems, Statistics, or a related field. Preferred qualifications, capabilities, and skills + Strong Python experience, especially in the context of developing solutions for large financial platforms. + Strong experience in AWS serverless services: This includes expertise in using AWS Step functions, Lambda , Dynamodb and NoSQL database services + Experience using AWS Lake Formation service. Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans