Data Analyst jobs at Bloomberg - 94 jobs

Business Area Research Ref # 10047875 **Description & Requirements** Bloomberg Intelligence ("BI") provides a comprehensive view of industries and their key constituents. We offer unsurpassed depth and breadth at the economic, strategy, sector, industry, political, credit and company levels. Our team of independent experts provide valuable written analysis, industry data and interactive charting. Our work gives trading and investment professionals deep insight into where crucial industries stand today and where they may be heading. As a data integration specialist, you should have experience in data management, automation, and visualization, with a strong focus on facilitating the onboarding and distribution of model outputs onto various Bloomberg platforms. You will manage and coordinate the data and outputs of existing models; while you will need to understand the context of the data, this role does not require industry, company or market subject matter expertise or the development of models. As part of the BI Product Development team, you will help define guidelines and best practices, evaluate new requirements, and help assess return on investment of developing tools and processes. You will be a key part of our growth and innovation! WE'LL TRUST YOU TO: + Facilitate scheduling and automation of model runs to ensure timely and accurate data outputs. + Onboard critical time series output of models onto traditional Bloomberg tickers, ensuring seamless integration and accessibility. + Design and help developing workflows and pipelines to integrate data from multiple sources into databases, ensuring high levels of data accuracy, consistency, and completeness. + Develop and implement visualization apps, such as DEX grids to allow users to interact with larger data sets flexibly and efficiently. + Communicate effectively with stakeholders to manage expectations, provide updates on project progress, and address any issues or concerns that arise. + Facilitate the inclusion of relevant datasets in Enterprise data sales offerings, ensuring data is packaged and presented in a way that maximizes its value. + Develop a process for determining effort estimates to assist in prioritization decisions and coordinate with the product owner on prioritization decisions and transparency into the project pipeline. + Facilitate distribution and access to models via BQuant, MMDL, and other platforms, ensuring secure and reliable access for all users. YOU'LL NEED TO HAVE: + +5 years of experience in project management, data management and interpersonal skills + Familiarity with data management concepts and best practices + Proficiency with Bloomberg, Excel, SQL, Python + Ability to handle deadline pressure, work in a focused real-time environment + A team player who can help expand the team's skill and capacity for data integration + Entrepreneurial attitude, an innovator who can help BI develop new products + Candidates must have current work authorization. We are not able to provide visa sponsorship for this role now or in the future. WE'D LOVE TO SEE: + Experience with PM platforms such as Miro, Jira + Experience with data modeling and visualization software Bloomberg ETL tools such as DFR. Salary Range = 120000 - 145000 USD Annually + Benefits + Bonus The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns. Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email amer_*********************

The Client Data & Returns Attributions Lead Analyst is a VP level position under the Citigroup wide Client Analytics & Lead Finance Officer team. This team is focused on enhancing the client management dimension across all of Citi, delivering timely and accurate client financials and providing insight into client segment performance. This role will help drive efforts to provide a framework for measuring client financials and returns and will work closely with the business teams and finance partners to harmonize financial attributions to the client level to ensure alignment of firm down to the underlying client level. Responsibilities: * Contribute to a team driving the definition of client financials, including revenue, expenses, cost of credit, and client capital * Key stakeholders include coverage leads (Corporate, Commercial, Private Bank, Financial Institutions), product heads (Markets, Banking, Services, Wealth, US Personal Banking), and geographical leads (country and cluster CEOs) * Help to develop and implement attribution methodologies for client revenue, expenses and capital to fully load the client P&L * Assist in defining both wholistic and marginal client return hurdles in conjunction with business partners * Partner with the product teams to improve efficiency, effectiveness, productivity, and/or controls * Ensure current and future data policies and governance principles are followed * Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency, as well as effectively supervise the activity of others and create accountability with those who fail to maintain these standards Qualifications: * 5+ years of relevant experience * Experience in financial services and Client analytics * Demonstrated financial modeling skills * Consistently demonstrates clear and concise written and verbal communication * Ability to build and maintain relationships and interact at all levels of an organization * Demonstrated problem-solving and decision-making skills Education: * Bachelor's degree/University degree required * Master's degree a plus This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. * ----------------------------------------------------- Job Family Group: Finance * ----------------------------------------------------- Job Family: Financial Planning & Analysis * ----------------------------------------------------- Time Type: Full time * ----------------------------------------------------- Primary Location: New York New York United States * ----------------------------------------------------- Primary Location Full Time Salary Range: $129,840.00 - $194,760.00 In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire. * ----------------------------------------------------- Anticipated Posting Close Date: Sep 15, 2024 * ----------------------------------------------------- Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Citigroup Inc. and its subsidiaries ("Citi") invite all qualified interested applicants to apply for career opportunities. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View the "EEO is the Law" poster. View the EEO is the Law Supplement. View the EEO Policy Statement. View the Pay Transparency Posting

The Data Quality Senior Lead Analyst is accountable for the management and execution of continuous Data Quality standards, controls, metrics, and Data Concern Remediation Management. This role oversees firm-wide controls, setting parameters and guidelines for measurement, evaluation, adoption, and communications of Data Quality and Data Quality risk. This role will work alongside data-producing teams to monitor and certify authoritative data sources and remediate data concerns. **Responsibilities:** + Manage data related to classification and accountability, conducting root cause analysis, prioritizing issues, developing remediation plan, and implementing effective tactical and strategic solutions + Manage senior relationships with Data stakeholders to develop, execute, and implement Data Quality management policies, procedures and capabilities including continuous improvement, monitoring, control, and governance of Data Quality + Drive data quality resolution and lead data improvement initiatives, and/or + Liaise with other areas of the firm to understand data challenges and solutions + Oversee metrics reporting process and/or completion of data consumption demand from strategic data repositories + Report Data Quality issues through Citi's corresponding Data/Issue management process + Lead project management activities and create presentation materials to support senior management strategic vision + Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable rules, laws, and regulations, adhering to Policy, applying sound ethical judgement regarding personal behavior, conduct and business practices, and escalating managing and reporting control issues with transparency **Qualifications:** + 10+ years of experience, Banking or Finance industry preferred + Experience defining and implementing data quality programs + Communicates effectively, develops and delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences; able to drive consensus, and influence relationships at all levels + Collaborates effectively by building partnerships and working well with others to meet shared objectives + Strong negotiation, influencing and stakeholder management skills across a variety of stakeholders at different levels + Optimizes work processes by balancing effective / efficient processes with a focus on continuous improvement. Demonstrates ability to balance between seeing the "big picture" while paying close attention to detail + Organizational savvy: understands systems, management processes, knows where to go for information and how to interpret them. + Ability to deal with ambiguity & constantly changing priority/demands + Ability to deal with a wide range of senior stakeholders + Experience of data quality management + Analytical skills, ability to decompose metrics/reports **Education:** + Bachelor's/University degree, Master's degree preferred ------------------------------------------------------ **Job Family Group:** Data Governance ------------------------------------------------------ **Job Family:** Data Quality & Data Quality Analytics and Reporting ------------------------------------------------------ **Time Type:** Full time ------------------------------------------------------ **Primary Location:** Getzville New York United States ------------------------------------------------------ **Primary Location Full Time Salary Range:** $125,200.00 - $187,800.00 In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire. ------------------------------------------------------ **Most Relevant Skills** Change Management, Data Analysis, Data Governance, Data Lineage, Data Management, Data Quality, Internal Controls, Management Reporting, Program Management, Risk Management. ------------------------------------------------------ **Other Relevant Skills** For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ **Anticipated Posting Close Date:** Jan 22, 2026 ------------------------------------------------------ _Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._ _If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi (*************************************************************************** ._ _View Citi's EEO Policy Statement (*********************************************** and the Know Your Rights (*********************************************************************************************** poster._ Citi is an equal opportunity and affirmative action employer. Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

The Data Quality Senior Lead Analyst is accountable for the management and execution of continuous Data Quality standards, controls, metrics, and Data Concern Remediation Management. This role oversees firm-wide controls, setting parameters and guidelines for measurement, evaluation, adoption, and communications of Data Quality and Data Quality risk. This role will work alongside data-producing teams to monitor and certify authoritative data sources and remediate data concerns. Responsibilities: Manage data related to classification and accountability, conducting root cause analysis, prioritizing issues, developing remediation plan, and implementing effective tactical and strategic solutions Manage senior relationships with Data stakeholders to develop, execute, and implement Data Quality management policies, procedures and capabilities including continuous improvement, monitoring, control, and governance of Data Quality Drive data quality resolution and lead data improvement initiatives, and/or Liaise with other areas of the firm to understand data challenges and solutions Oversee metrics reporting process and/or completion of data consumption demand from strategic data repositories Report Data Quality issues through Citi's corresponding Data/Issue management process Lead project management activities and create presentation materials to support senior management strategic vision Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable rules, laws, and regulations, adhering to Policy, applying sound ethical judgement regarding personal behavior, conduct and business practices, and escalating managing and reporting control issues with transparency Qualifications: 10+ years of experience, Banking or Finance industry preferred Experience defining and implementing data quality programs Communicates effectively, develops and delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences; able to drive consensus, and influence relationships at all levels Collaborates effectively by building partnerships and working well with others to meet shared objectives Strong negotiation, influencing and stakeholder management skills across a variety of stakeholders at different levels Optimizes work processes by balancing effective / efficient processes with a focus on continuous improvement. Demonstrates ability to balance between seeing the “big picture” while paying close attention to detail Organizational savvy: understands systems, management processes, knows where to go for information and how to interpret them. Ability to deal with ambiguity & constantly changing priority/demands Ability to deal with a wide range of senior stakeholders Experience of data quality management Analytical skills, ability to decompose metrics/reports Education: Bachelor's/University degree, Master's degree preferred ------------------------------------------------------ Job Family Group: Data Governance ------------------------------------------------------ Job Family: Data Quality & Data Quality Analytics and Reporting ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Primary Location: Getzville New York United States ------------------------------------------------------ Primary Location Full Time Salary Range: $125,200.00 - $187,800.00 In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire. ------------------------------------------------------ Most Relevant Skills Change Management, Data Analysis, Data Governance, Data Lineage, Data Management, Data Quality, Internal Controls, Management Reporting, Program Management, Risk Management. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Anticipated Posting Close Date: Jan 22, 2026 ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.

Description & Requirements Thinking about an alternative legal career? Our Data team supports the Bloomberg Industry Group (INDG) business, which offers outstanding tools, search, and analytics for products in the areas of Law, Government and Tax. Bloomberg is changing the legal industry by delivering the most sophisticated research platform on the market with a focus on automation, analytics and real-time answers. INDG provides users with fast access to legal content and analysis, practice tools, company information and market intelligence through advanced search & analytic capabilities. Our Team: The Legal Data Analysis team plays a critical role in the development and maintenance of Bloomberg Industry Group's products, which include Bloomberg Law (BLAW), Bloomberg Tax (BTAX) and Bloomberg Government (BGOV). Our team of former practicing attorneys applies their legal expertise and deep understanding of customer workflows to support AI product development. Our team works cross-functionally, collaborating closely with Product and Engineering teams to develop and evaluate AI-driven solutions, ensuring they are accurate, intuitive, and valuable to legal, tax and government professionals. What's The Role? As a Legal Data Analyst, you'll apply your tax and accounting expertise in a dynamic, non-traditional setting and help support development of Bloomberg Tax's AI-enabled tools from a data perspective. You'll collaborate with cross-functional partners to evaluate data quality, test AI performance, and ensure product decisions reflect user needs and expectations. Your analytical thinking, attention to detail, and understanding of practitioner workflows will directly influence the quality and success of our products. We'll trust you to: * Effectively apply your tax and accounting subject matter expertise to support the development of new technology-driven solutions, including ensuring legal and tax outputs meet customer expectations * Partner with cross-functional teams to understand requirements and approach, translating domain-specific knowledge into clear inputs for AI models and actionable feedback for technical stakeholders * Communicate nuanced legal and tax concepts to technical and non-technical stakeholders and translate complex problems effectively * Craft, test, and refine prompts for large language models (LLMs) to generate high-quality outputs that are contextually accurate and tailored to legal and tax workflows * Evaluate model outputs, providing definition and clarity when unspecified and applying close attention to detail and an understanding of customer expectations. * Manage multiple projects in a fast-paced, evolving environment You'll need to have: * A Bachelor's degree * Juris Doctor (JD) degree from an accredited law school * Admission to a U.S. State Bar * 2+ years of relevant tax practice experience * Familiarity with online legal research and accounting tools * Excellent communication and collaboration skills, with particular focus on sophisticated and complex concepts * Strong project management, analytical and problem-solving skills * Demonstrated ability to deliver high quality work product on demanding deadlines * Ability to navigate ambiguity and establish clear, actionable objectives * Ability to be flexible in shifting between projects in a fast-paced environment. * Self-starter and the ability to work with a high-degree of autonomy * Legal authorization to work in the US without visa sponsorship now and in the future We'd love to see: * Experience with the Bloomberg Tax Research or Software products is a plus * Experience with ASC 740 Tax Provision * Strong interest in emerging technologies including LLMs * A Certified Public Accountant (CPA) license from a state Board of Accountancy Does this sound like you? Apply if you think we're a good match. We'll get in touch to let you know what the next steps are. Salary Range = 110000 - 150000 USD Annually + Benefits + Bonus The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns. Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

The Data Quality Lead Analyst contributes to efforts to ensure data that is sourced and provisioned meet all required data quality standards. The Data Quality Lead Analyst leads the continuous Data Quality by assessing, evaluating and analyzing data, setting controls and guidelines for measurement, evaluation, adoption and communication of Data Quality and Data Quality risk. They collaborate with others to monitor and remediate data concerns. Responsibilities: Supports activities to drive Data Quality measurement, produce Data Quality dashboards and reports, and implement Data Quality strategies to effectively govern data and improve Data Quality Lead data improvement initiatives, processes, and creation of tools in line with requirements Liaise with other areas of the firm to understand data challenges and solutions, and/or run data consumption demand and requirements Review quality analysis results and disposition data challenges through Citi's corresponding Data/Issue management process Lead day to day activities to support data quality resolution, and to optimize metrics reporting process Report Data Quality issues through Citi's corresponding Data/Issue management process Support senior management strategic vision Appropriately assess risk when business decisions are made, demonstrating consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable rules, laws, and regulations, adhering to Policy, applying sound ethical judgement regarding personal behavior, conduct and business practices, and escalating managing and reporting control issues with transparency Ability to deal with ambiguity & constantly changing priority/demands Ability to deal with a wide range of senior stakeholders Experience of data quality management Analytical skills, ability to decompose metrics/reports Recommended Qualifications: 6-10 years Experience with defining and implementing Data Quality programs; Banking or Finance industry preferred Experience with defining and implementing data quality programs Possesses a comprehensive understanding of how own area and others collectively integrate to contribute towards achieving business objectives Ability to monitor tight deadlines or unexpected requirement changes, with the ability to anticipate and balance needs of multiple stakeholders Ability to communicate effectively to develop and deliver multi-mode communications that convey a clear understanding of the unique needs of different audiences Collaborates effectively by building partnerships and working well with others to meet shared objectives Ability to work under pressure, facilitate discussions Education: Bachelor's/University degree, Master's degree preferred This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. ------------------------------------------------------ Job Family Group: Data Governance ------------------------------------------------------ Job Family: Data Quality & Data Quality Analytics and Reporting ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Primary Location: Getzville New York United States ------------------------------------------------------ Primary Location Full Time Salary Range: $100,800.00 - $151,200.00 In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire. ------------------------------------------------------ Most Relevant Skills Change Management, Data Analysis, Data Governance, Data Lineage, Data Management, Data Quality, Internal Controls, Management Reporting, Program Management, Risk Management. ------------------------------------------------------ Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ Anticipated Posting Close Date: Jan 22, 2026 ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.

Company Profile Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments, and individuals from more than 1,200 offices in 43 countries. As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence, and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture. #LI-NH1 Department Profile ISG has created an ISG Data Group (IDG) to provide single point of accountability for the full spectrum of data related commercial initiatives. This ranges from the defensive risk reduction aspects of data security (both internal and external), through operational efficiency from improving data quality, to helping enhance revenue through further leveraging our data assets for providing services to our clients. The ISG Divisional Data Office (DDO) is part of IDG and is responsible for the oversight and integrity of the data used for senior management, regulatory or client reporting, or used by internal controls. Using a risk-based prioritization methodology, the team is responsible for working with control groups to prioritize key data which may require improvements in the controls to ensure integrity of that data. Position Description Morgan Stanley is seeking a Vice President who will drive progress across complex, multi-stakeholder environments, ensuring alignment and momentum even when priorities compete. The ideal candidate will be comfortable with managing end-to-end processes across multiple internal systems and tooling, translating stakeholder needs into actionable requirements for technology teams, and designing solutions in ambiguous contexts. Skill Requirements 10+ years of experience in the financial services industry Proven track record of project management and process improvement Strong motivation and a self-starter with a positive outlook and desire to solve problems independently with minimal guidance Strong analytical and organizational skills, attention to detail, and the ability to manage multiple workstreams in a fast-paced environment Ability to identify and escalate issues effectively and appropriately Excellent communication skills, capable of synthesizing complex requirements when engaging with senior stakeholders and technology teams Demonstrated ability to lead through ambiguity, challenge assumptions, and drive initiatives to completion Primary Responsibilities Assess prioritization of various client-facing features and capabilities: Lead initiatives that require balancing diverse stakeholder views, building momentum, and delivering measurable results. Foster consensus and ensure project objectives remain on track End-to-End Process Management: Oversee workflows from inception to completion, utilizing complex internal platforms and tools. Ensure seamless integration across business units, technology, and control functions. Convey business requirements for technology teams: Gather, distill, and articulate stakeholder requirements in clear, actionable terms for developer teams. Facilitate effective communication to ensure deliverables meet business needs Managing ambiguity and resource constraints: design and implement solutions for problems where priorities are unclear, and technology resources are limited. Apply creative problem-solving and strategic planning to deliver value under uncertainty. Collaborate with senior management, desk heads, and control functions to evaluate and dynamically respond to constantly evolving client needs and sales team priorities WHAT YOU CAN EXPECT FROM MORGAN STANLEY: At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste ***************************************************** into your browser. Expected base pay rates for the role will be between $145,000 and $250,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs. Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

The Data Quality Analytics & Reporting Sr Analyst supports activities to ensure sound, reliable, and consistent information exists across the organization to support business processes and services. This role assesses, evaluates, and analyzes data challenges and provide recommendations on their resolution. Requires in-depth understanding of data and reporting. Requires good analytical skills to filter, prioritize and validate potentially complex and dynamic material from various sources to monitor and certify authoritative data sources and remediate data concerns. **Responsibilities:** + Identify process efficiencies by analyzing potential reporting solutions and applying technology solutions to achieve straight through processing + Engage technology partners where needed to implement changes and control implementations + Perform review and investigation of control exceptions to determine root cause + Facilitate the remediation of exceptions with multiple stakeholder groups + Evaluates current processes assessing them for risks and gaps, researches and proposes solutions, and helps implement process improvements. + Uses discretion in developing solutions for broad based reporting issues + Conducts statistically accurate data analysis that yields useful reporting insights to inform business decisions. + Assess and improve effectiveness of deployed solutions by applying techniques such as data warehousing, data mapping, data processing, data cleansing and data tracking + Coordinates project deliverables, and contributes to identifying solutions for business reporting issues + Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. **Qualifications:** + 5+ years of experience, Banking or Finance industry preferred + Experience / Certifications in Agile Methodology preferred + Ability to provide in-depth and sophisticated analysis with interpretive thinking to define problems and develop innovative solutions. + Strong project management skills + Optimizes work processes by knowing the most effective and efficient processes to get things done, with a focus on continuous improvement + Ability to communicate effectively + Risk-based thinking and analytical mindset + Proficient in the use of basic Microsoft applications (Word, Excel, PowerPoint) **Education:** + Bachelor's/University degree or equivalent experience ------------------------------------------------------ **Job Family Group:** Data Governance ------------------------------------------------------ **Job Family:** Data Quality & Data Quality Analytics and Reporting ------------------------------------------------------ **Time Type:** Full time ------------------------------------------------------ **Primary Location:** Getzville New York United States ------------------------------------------------------ **Primary Location Full Time Salary Range:** $77,280.00 - $115,920.00 In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire. ------------------------------------------------------ **Most Relevant Skills** Change Management, Data Analysis, Data Governance, Data Lineage, Data Management, Data Quality, Internal Controls, Management Reporting, Program Management, Risk Management. ------------------------------------------------------ **Other Relevant Skills** For complementary skills, please see above and/or contact the recruiter. ------------------------------------------------------ **Anticipated Posting Close Date:** Jan 14, 2026 ------------------------------------------------------ _Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law._ _If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi (*************************************************************************** ._ _View Citi's EEO Policy Statement (*********************************************** and the Know Your Rights (*********************************************************************************************** poster._ Citi is an equal opportunity and affirmative action employer. Minority/Female/Veteran/Individuals with Disabilities/Sexual Orientation/Gender Identity.

Wholesale Lending - Data Governance Analyst - Assistant Vice President (AVP) - Hybrid The Wholesale Lending Data Governance Analyst (Business Analytics Sr Analyst - C12) is responsible for contributing to the development of new techniques and improvement of processes and workflow. Requires in-depth understanding of how areas collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the function and overall business. Evaluates moderately complex and variable issues with substantial potential impact, where development of an approach/taking of an action involves weighing various alternatives and balancing potentially conflicting situations using multiple sources of information. Requires good analytical skills in order to filter, prioritize and validate potentially complex and dynamic material from multiple sources. Strong communication and diplomacy skills are required. Significant impact in terms of project size, geography, etc. by influencing decisions through advice, counsel and/or facilitating services to others in area of specialization. Responsibilities: Consult with end users to support defining, and/or integrating processes to align with the enterprise Data Governance roadmap and/or Data Risk and Control framework and taxonomy. Provide technical knowledge to aid in efficient design, development, and implementation of complex projects. Involvement in system change process from requirements through implementation. Applies good understanding of concepts and procedures within own business analysis area to resolve issues. Monitor and report governance metrics including Data Governance adoption and maturity. Monitor alignment of processes across business, functions and lines of business to the Enterprise Data Governance Policy and standards to meet its specific requirements. Contribute to producing recommendations for enterprise-wide guiding policies, standards and procedures. Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency. Qualifications: 5+ years of relevant experience in Data Governance, Data Management, or related areas, preferably within banking or financial services. Strong analytical and problem-solving skills, with required proficiency in data analysis and preferred experience with SQL and/or Tableau. Strong project management skills. Proven ability to optimize work processes and drive continuous improvement. Adept at balancing stakeholder needs, managing tight deadlines, and adapting to changing requirements. Effective communication skills. Proficient in Microsoft applications (Word, Excel, PowerPoint). Wholesale Lending knowledge preferred Education: Bachelor's/University degree or equivalent experience required This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. Applicants must be authorized to work in the U.S for this position; Citi will not sponsor applicants for U.S. work authorization for this role. Candidate must be located within commuting distance or be willing to relocate to the area. ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Business Analysis ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Primary Location: Getzville New York United States ------------------------------------------------------ Primary Location Full Time Salary Range: $77,280.00 - $115,920.00 In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire. ------------------------------------------------------ Most Relevant Skills Please see the requirements listed above. ------------------------------------------------------ Other Relevant Skills Analytical Thinking, Banking, Data Analysis, Data Governance, Data Management, Financial Services, Microsoft Excel, Microsoft PowerPoint, Problem Resolution, Problem Solving, Project Management. ------------------------------------------------------ Anticipated Posting Close Date: Feb 03, 2026 ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.

About the Team Our team, GeminiApp, is on a mission to build a universal AI assistant that will empower billions of people. We are creating a personal, proactive, and powerful life assistant that will be used multiple times a day to increase productivity and creativity by 10 to 100-fold. Our work is shaping how humanity interacts with AI at scale. About the Role As a Data Scientist on the GeminiApp team, you are a key partner and co-creator in our product strategy. You will be instrumental in building a uniquely proactive and powerful assistant by ensuring our strategic decisions are grounded in data. This is a high-impact role for a data scientist who is excited about working in a fast-paced, innovative environment and who is passionate about building user-centered experiences that will redefine our relationship with technology. What You'll Do + Partner with product, engineering, and UX to develop data-driven product strategies + Translate ambiguous questions into well-defined problems, design experiments, and analyze large complex datasets for insights + Develop and implement novel, goal-oriented metrics + Build and deploy statistical/ML models to understand our users, enhance product capabilities and personalize user experience + Communicate findings & recommendations to stakeholders, including executives + Champion data-driven culture by feeding user engagement insights back into models + Collaborate with the GenAI team on model quality and feature adoption + Act as a technical leader for the local team, guiding junior members on complex analyses and upholding best practices to ensure high-quality, impactful work [For L6 only] What We're Looking For + A bias for action and a relentless drive to build something great. You are a resourceful and creative problem-solver, able to find innovative solutions in a fast-paced and dynamic environment. You are comfortable with ambiguity and thrive on a challenge. + Strong business acumen and a strategic mindset. You have a proven ability to connect data-driven insights to business impact and can effectively translate business needs into data science problems. + Deep technical expertise. You have a strong foundation in statistical modeling, machine learning, and experimental design. You are proficient in SQL and have hands-on experience with a programming language like Python or R. + Exceptional communication and presentation skills. You can articulate complex technical concepts to both technical and non-technical audiences, including executive leadership. You are a compelling storyteller who can use data to influence decisions. + A collaborative and influential partner. You have a track record of successfully collaborating with and influencing cross-functional teams, particularly engineering and product management, to drive data-informed decisions. You are ready to work in an environment with a shared roadmap that holds multiple teams accountable for both model quality and feature adoption. + A commitment to user trust and privacy. You understand the importance of telling users what data is being used and why, and you are committed to providing users with granular, easy-to-understand controls over their personal information. Why You'll Love Working Here + Impact: You'll have a direct and meaningful impact on a product designed to empower billions of people and be one of the greatest forces for good in the world. + Growth: We're a fast-growing team within Google, and you'll have the opportunity to evolve quickly to meet changing user needs. + Team & Culture: You'll work with a talented and passionate team of people who are excited about what they do and have fun doing it. The US base salary range for this full-time position is between $156,000 - $229,000 + bonus + equity + benefits. Your recruiter can share more about the specific salary range for your targeted location during the hiring process. Note: In the event your application is successful and an offer of employment is made to you, any offer of employment will be conditional on the results of a background check, performed by a third party acting on our behalf. For more information on how we handle your data, please see our Applicant and Candidate Privacy Policy At Google DeepMind, we value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. We are committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.

_corporate_fare_ Google _place_ New York, NY, USA; Mountain View, CA, USA **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. _info_outline_ XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: **New York, NY, USA; Mountain View, CA, USA** . **Minimum qualifications:** + Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. + 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree. **Preferred qualifications:** + 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree. + Experience with advanced optimization techniques. + Experience with high dimensional statistics. **About the job** As a Data Scientist working on Ads Insights and Measurement, you will develop, evaluate and improve the entire range of Google's advertising products including Search, Display, Apps, TV and Video (YouTube). You will collaborate with a multi-disciplinary team of engineers, analysts and product managers to develop new science and to translate it into deployed products at scale. You will also play a key role in developing new ideas and methods that drive ad measurement and business generation, including paradigm-shifting ad-measurement science and products for the privacy-preserving future of digital advertising and will be a key part of building and driving impact on ad-systems both at Google and in the ad-tech and mar-tech industry as a whole, globally.The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Design and evaluate custom data infrastructure or existing data models using specialized knowledge to mathematically express and solve defined problems with limited precedent. + Shape and support new data-driven and privacy-preserving advertising and marketing products in collaboration with engineering, product and customer-facing teams. + Define relevant questions about advertising effectiveness, incrementality assessment, the impact of privacy, user behavior, brand building, aiming, bidding and develop and implement quantitative methods to answer those questions through team collaboration. + Solve difficult, non-routine analysis problems with data sets, applying advanced problem-solving methods as needed and conducting analyses that include data gathering and requirements specification, Exploratory Data Analysis (EDA), model development, and written and verbal delivery of results to business partners and executives. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

info_outline XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Mountain View, CA, USA. Minimum qualifications: Master's degree in Statistics, Data Science, Mathematics, Physics, Economics, Operations Research, Engineering, or a related quantitative field. 3 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree. Preferred qualifications: 5 years of work experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a PhD degree. Experience with advanced optimization techniques. Experience with high dimensional statistics. About the job As a Data Scientist working on Ads Insights and Measurement, you will develop, evaluate and improve the entire range of Google's advertising products including Search, Display, Apps, TV and Video (YouTube). You will collaborate with a multi-disciplinary team of engineers, analysts and product managers to develop new science and to translate it into deployed products at scale. You will also play a key role in developing new ideas and methods that drive ad measurement and business generation, including paradigm-shifting ad-measurement science and products for the privacy-preserving future of digital advertising and will be a key part of building and driving impact on ad-systems both at Google and in the ad-tech and mar-tech industry as a whole, globally.The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Design and evaluate custom data infrastructure or existing data models using specialized knowledge to mathematically express and solve defined problems with limited precedent. Shape and support new data-driven and privacy-preserving advertising and marketing products in collaboration with engineering, product and customer-facing teams. Define relevant questions about advertising effectiveness, incrementality assessment, the impact of privacy, user behavior, brand building, aiming, bidding and develop and implement quantitative methods to answer those questions through team collaboration. Solve difficult, non-routine analysis problems with data sets, applying advanced problem-solving methods as needed and conducting analyses that include data gathering and requirements specification, Exploratory Data Analysis (EDA), model development, and written and verbal delivery of results to business partners and executives.

Minimum qualifications: Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years work experience with an advanced degree. Preferred qualifications: Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). About the job As a Cloud Security Product Data Scientist, you will works within the strategy and operations group to equip Google security business leaders with the data and insights you need to confidently make decisions that improve our business and products. You will apply our data engineering, data science and data analysis skills to build trusted data sets, analyses, metrics and dashboards that are tailored to the priorities and products of the Cloud security business. You will focus on scalable, executive-level and portfolio-wide insights and work closely with other functional (e.g., sales, marketing, finance, etc.) and product specific analytic teams who offer additional complementary views for users. The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Partner with product, engineering, GTM, and post sales leadership, to identify and answer critical, strategic questions through data analysis. Conduct analyses and experiments to understand user behavior, identify trends, and uncover opportunities for product improvement and growth. Apply statistical methods and modeling techniques to extract insights and build predictive models. Develop and monitor core metrics and dashboards to track product performance, user engagement, and business outcomes. Communicate complex problem-solving findings and recommendations clearly and concisely to both technical and non-technical audiences. Design, develop and maintain data pipelines that aggregate and enrich key product and business data to power analyses and dashboards. Ensure data quality and problem-solving in all outputs.

Apply share * link Copy link * email Email a friend Minimum qualifications: * Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. * 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years work experience with an advanced degree. Preferred qualifications: * Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. * 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). About the job As a Cloud Security Product Data Scientist, you will works within the strategy and operations group to equip Google security business leaders with the data and insights you need to confidently make decisions that improve our business and products. You will apply our data engineering, data science and data analysis skills to build trusted data sets, analyses, metrics and dashboards that are tailored to the priorities and products of the Cloud security business. You will focus on scalable, executive-level and portfolio-wide insights and work closely with other functional (e.g., sales, marketing, finance, etc.) and product specific analytic teams who offer additional complementary views for users. The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities * Partner with product, engineering, GTM, and post sales leadership, to identify and answer critical, strategic questions through data analysis. * Conduct analyses and experiments to understand user behavior, identify trends, and uncover opportunities for product improvement and growth. * Apply statistical methods and modeling techniques to extract insights and build predictive models. * Develop and monitor core metrics and dashboards to track product performance, user engagement, and business outcomes. Communicate complex problem-solving findings and recommendations clearly and concisely to both technical and non-technical audiences. * Design, develop and maintain data pipelines that aggregate and enrich key product and business data to power analyses and dashboards. Ensure data quality and problem-solving in all outputs.

_corporate_fare_ Google _place_ New York, NY, USA **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. **Minimum qualifications:** + Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. + 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL) or 5 years work experience with an advanced degree. **Preferred qualifications:** + Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field. + 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL). **About the job** As a Cloud Security Product Data Scientist, you will works within the strategy and operations group to equip Google security business leaders with the data and insights you need to confidently make decisions that improve our business and products. You will apply our data engineering, data science and data analysis skills to build trusted data sets, analyses, metrics and dashboards that are tailored to the priorities and products of the Cloud security business. You will focus on scalable, executive-level and portfolio-wide insights and work closely with other functional (e.g., sales, marketing, finance, etc.) and product specific analytic teams who offer additional complementary views for users. The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Partner with product, engineering, GTM, and post sales leadership, to identify and answer critical, strategic questions through data analysis. + Conduct analyses and experiments to understand user behavior, identify trends, and uncover opportunities for product improvement and growth. + Apply statistical methods and modeling techniques to extract insights and build predictive models. + Develop and monitor core metrics and dashboards to track product performance, user engagement, and business outcomes. Communicate complex problem-solving findings and recommendations clearly and concisely to both technical and non-technical audiences. + Design, develop and maintain data pipelines that aggregate and enrich key product and business data to power analyses and dashboards. Ensure data quality and problem-solving in all outputs. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

_corporate_fare_ Google _place_ Mountain View, CA, USA; New York, NY, USA **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. _info_outline_ XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: **Mountain View, CA, USA; New York, NY, USA** . **Minimum qualifications:** + PhD in a quantitative discipline (e.g., Statistics, Biostatistics, Computer Science, Applied Mathematics, Operations Research, Economics) or another discipline involving experimental design and quantitative analysis of data. + 1 year of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree. + Experience in one or more of the following areas: coding (e.g., C/C++, Python, Java), databases and querying (e.g., SQL, MySQL, MapReduce, Hadoop), statistical analysis (e.g., R, Stata, SPSS, SAS), or hypothesis testing. **Preferred qualifications:** + Experience with causal inference methods (e.g., split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators). + Experience with statistical programming languages, controlled experimentation, causal inference, and statistical data analysis (e.g., linear models, multivariate analysis, stochastic models, sampling methods, etc.). + Applied experience with machine learning on large datasets. + Ability to start full-time role in 2026. **About the job** Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to take on some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, data scientists not only revolutionize search, they routinely work on massive scalability, storage solutions, large-scale applications, and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, social to local, Google engineers are changing the world one technological achievement after another. As a Data Scientist, you will evaluate and improve Google's products. You will collaborate with a multi-disciplinary team of engineers and analysts on a wide range of problems. This position will bring scientific and statistical methods to the challenges of product creation, development, and improvement with an appreciation for the behaviors of the end user. Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We're made up of multiple teams, building Google's Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale. The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more aboutbenefits at Google (************************************* . **Responsibilities** + Collaborate with stakeholders in cross-projects and team settings to identify and clarify business or product questions to answer. Provide feedback to translate and refine business questions into tractable analysis, evaluation metrics, or mathematical models. + Use custom data infrastructure or existing data models as appropriate, using specialized knowledge. Design and evaluate models to mathematically express and solve defined problems with limited precedent. + Gather information, business goals, priorities, and organizational context around the questions to answer, as well as the existing and upcoming data infrastructure. + Own the process of gathering, extracting, and compiling data across sources via relevant tools (e.g., SQL, R, Python). Format, restructure, or validate data to ensure quality and review the dataset to ensure it is ready for analysis. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy (******************************************************* ,Know your rights: workplace discrimination is illegal (**************************************************************************** ,Belonging at Google (******************************** , and How we hire (**************************************** . If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form (*************************************** . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also ******************************* and ************************************************************* If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: ***************************************

Description & Requirements Bloomberg Intelligence ("BI") provides a comprehensive view of industries and their key constituents. We offer unsurpassed depth and breadth at the economic, strategy, sector, industry, political, credit and company levels. Our team of independent experts provide valuable written analysis, industry data and interactive charting. Our work gives trading and investment professionals deep insight into where crucial industries stand today and where they may be heading. As a data integration specialist, you should have experience in data management, automation, and visualization, with a strong focus on facilitating the onboarding and distribution of model outputs onto various Bloomberg platforms. You will manage and coordinate the data and outputs of existing models; while you will need to understand the context of the data, this role does not require industry, company or market subject matter expertise or the development of models. As part of the BI Product Development team, you will help define guidelines and best practices, evaluate new requirements, and help assess return on investment of developing tools and processes. You will be a key part of our growth and innovation! WE'LL TRUST YOU TO: * Facilitate scheduling and automation of model runs to ensure timely and accurate data outputs. * Onboard critical time series output of models onto traditional Bloomberg tickers, ensuring seamless integration and accessibility. * Design and help developing workflows and pipelines to integrate data from multiple sources into databases, ensuring high levels of data accuracy, consistency, and completeness. * Develop and implement visualization apps, such as DEX grids to allow users to interact with larger data sets flexibly and efficiently. * Communicate effectively with stakeholders to manage expectations, provide updates on project progress, and address any issues or concerns that arise. * Facilitate the inclusion of relevant datasets in Enterprise data sales offerings, ensuring data is packaged and presented in a way that maximizes its value. * Develop a process for determining effort estimates to assist in prioritization decisions and coordinate with the product owner on prioritization decisions and transparency into the project pipeline. * Facilitate distribution and access to models via BQuant, MMDL, and other platforms, ensuring secure and reliable access for all users. YOU'LL NEED TO HAVE: * +5 years of experience in project management, data management and interpersonal skills * Familiarity with data management concepts and best practices * Proficiency with Bloomberg, Excel, SQL, Python * Ability to handle deadline pressure, work in a focused real-time environment * A team player who can help expand the team's skill and capacity for data integration * Entrepreneurial attitude, an innovator who can help BI develop new products * Candidates must have current work authorization. We are not able to provide visa sponsorship for this role now or in the future. WE'D LOVE TO SEE: * Experience with PM platforms such as Miro, Jira * Experience with data modeling and visualization software Bloomberg ETL tools such as DFR. Salary Range = 120000 - 145000 USD Annually + Benefits + Bonus The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level. We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns. Discover what makes Bloomberg unique - watch our podcast series for an inside look at our culture, values, and the people behind our success.

Job title: FRM Data Risk Team Associate Division: Risk Management Role: Risk Data Level: Associate Firm Risk Management The Firm Risk Management (FRM) division supports Morgan Stanley to achieve its business goals by partnering with business units across the Firm to realize efficient risk-adjusted returns, acting as a strategic advisor to the Board and protecting the Firm from exposure to losses because of credit, market, liquidity, operational, model, and other risks. Background on the Position This role resides within Morgan Stanley's FRM Risk Data team. The Risk Data team is responsible for developing and promoting data quality standards and governance, including the monitoring of Risk Domains' (e.g., Market, Credit, Liquidity) adherence with the Firm's Global Data Quality Policy and Risk Data Aggregation Framework (based on the BCBS 239 regulatory standard). Risk Data seeks an Associate to join the New York based team that is focused on governing and reporting on adherence to data quality policies, procedures, and Framework. The team is also responsible for the regular maintenance of governance documents and processes. Primary Responsibilities 1. Drive governance and reporting on adherence with the Global Data Quality Program and the Risk Data Aggregation Framework 2. Develop and update FRM Divisional Data Office & RDA Framework related policies, procedures, governance processes, and reporting, as needed 3. Support co-ordination, management and preparations for internal and external examinations, track and monitor audit deliverables 4. Ensure key risks and issues are identified, documented, mitigated, and communicated to the appropriate stakeholders in a timely manner 5. Prepare governance and reporting materials, including approval packages, for various senior management committees and forums Experience, Qualifications 1. Bachelor's degree or higher 2. 3+ years of work experience in the financial services industry, preferably in data management, governance, and/or reporting 3. Knowledge of implementation of risk management policies, frameworks, and procedures; BCBS 239 knowledge preferred 4. Strong attention to detail, problem-solving skills, and ability to provide information in usable formats 5. Ability to effectively communicate with a wide range of stakeholders, both written and verbally 6. Self-motivated to develop expertise in risk management practice 7. Ability to run meetings with multiple stakeholders and business areas 8. Strong collaboration, relationship building and teamwork skills 9. Proficiency in Microsoft Office programs (Word, Excel, PowerPoint) WHAT YOU CAN EXPECT FROM MORGAN STANLEY: We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste ***************************************************** into your browser. Expected base pay rates for the role will be between $100,000 and $140,000 year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs. Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).

Job title: FRM Data Risk Team Associate Division: Risk Management Role: Risk Data Level: Associate Firm Risk Management The Firm Risk Management (FRM) division supports Morgan Stanley to achieve its business goals by partnering with business units across the Firm to realize efficient risk-adjusted returns, acting as a strategic advisor to the Board and protecting the Firm from exposure to losses because of credit, market, liquidity, operational, model, and other risks. Background on the Position This role resides within Morgan Stanley's FRM Risk Data team. The Risk Data team is responsible for developing and promoting data quality standards and governance, including the monitoring of Risk Domains' (e.g., Market, Credit, Liquidity) adherence with the Firm's Global Data Quality Policy and Risk Data Aggregation Framework (based on the BCBS 239 regulatory standard). Risk Data seeks an Associate to join the New York based team that is focused on governing and reporting on adherence to data quality policies, procedures, and Framework. The team is also responsible for the regular maintenance of governance documents and processes. Primary Responsibilities 1. Drive governance and reporting on adherence with the Global Data Quality Program and the Risk Data Aggregation Framework 2. Develop and update FRM Divisional Data Office & RDA Framework related policies, procedures, governance processes, and reporting, as needed 3. Support co-ordination, management and preparations for internal and external examinations, track and monitor audit deliverables 4. Ensure key risks and issues are identified, documented, mitigated, and communicated to the appropriate stakeholders in a timely manner 5. Prepare governance and reporting materials, including approval packages, for various senior management committees and forums Experience, Qualifications 1. Bachelor's degree or higher 2. 3+ years of work experience in the financial services industry, preferably in data management, governance, and/or reporting 3. Knowledge of implementation of risk management policies, frameworks, and procedures; BCBS 239 knowledge preferred 4. Strong attention to detail, problem-solving skills, and ability to provide information in usable formats 5. Ability to effectively communicate with a wide range of stakeholders, both written and verbally 6. Self-motivated to develop expertise in risk management practice 7. Ability to run meetings with multiple stakeholders and business areas 8. Strong collaboration, relationship building and teamwork skills 9. Proficiency in Microsoft Office programs (Word, Excel, PowerPoint) WHAT YOU CAN EXPECT FROM MORGAN STANLEY: At Morgan Stanley, we raise, manage and allocate capital for our clients - helping them reach their goals. We do it in a way that's differentiated - and we've done that for 90 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren't just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you'll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There's also ample opportunity to move about the business for those who show passion and grit in their work. To learn more about our offices across the globe, please copy and paste ***************************************************** into your browser. Expected base pay rates for the role will be between $100,000 and $140,000 year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs. Morgan Stanley's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees. It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law. Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).