Risk Data Analyst Jobs in New York
Risk Data Analyst jobs in New York are among the most active in the country, concentrated in financial services, insurance, and banking across a seniority range from entry-level through senior and principal. Most hiring is anchored in New York City, with additional demand in White Plains and Albany, where employers like JPMorgan Chase, Citigroup, and MetLife maintain large analytics teams. Credit risk modeling, market risk quantification, and regulatory reporting are the sub-areas drawing the most consistent attention from hiring managers. Find a role that fits below and apply directly.
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Job Description Summary
Under limited direction, the VP, Risk Data & Analytics will lead the analysis, design, development, and ongoing support of data, reporting, and analytics solutions across RJF Risk Management. The role will serve as a subject matter expert on Risk’s rapidly expanding data ecosystem and emerging capabilities, partnering closely with Risk Stripe Leads, Segment CROs, Risk Technology, and other stakeholders to expand risk measurement, reduce data-related friction, strengthen transparency and control, and drive accurate and intuitive risk reporting. The VP will transform challenges and opportunities into value-driven use cases and oversee the design and execution of concurrent Risk Data & Analytics and Risk Technology workstreams, ensuring that solutions are well documented, well governed, and aligned to the broader RJF Risk Management and Risk & Data Analytics strategic roadmaps.
Essential Duties and Responsibilities
- Lead the analysis, design, development, and ongoing support of tactical point solutions and scalable strategic capabilities supporting data, reporting, and analytics across RJF Risk Management.
- Serve as a subject matter expert on RJF Risk Management’s data and its various touch points across roles, platforms, and processes, especially upstream dependencies and downstream impact.
- Manage data transformation, entity consolidation, and risk aggregation processes used to report exposure to regulatory, audit, committee, executive management, and board level audiences.
- Increase the frequency, breadth, and depth of risk measurement capabilities by targeting data-related process friction through automation and process improvement.
- Build strong relationships with stakeholders and use techniques such as structured interviewing, group workshops, and free form whiteboarding sessions to solicit requirements and transform them into polished specifications and support artifacts for Risk Data & Analytics and Risk Technology.
- Actively manage a backlog and roadmap of risk management platform, data, analytics, reporting, dashboarding, workflow, and decision-support use cases.
- Continuously drive down total cost of ownership of data-driven solutions by promoting modular design, shared components, and configuration-driven development.
- Promote visual and user experience design concepts to deliver solutions that are pleasing to look at, intuitive to use and understand, elegant in their simplicity, and accessible to all who use them.
- Create and actively maintain documentation, visual artifacts, guides, and end user support materials.
- Establish a framework of observability, reproducibility, and auditability for analytics solutions that tightly manages experiments, model training, testing, inference, and ground truth and performance data integration while providing a sight glass for regulatory oversight, audit, and model risk management.
- Provide ad hoc reporting, visualization, and analytical support for regulatory, audit, compliance, business unit, and executive management inquiries.
- Manage assigned team members and delivery resources, including workload prioritization, coaching, performance management, and development planning.
Knowledge of
- Risk management concepts and practices, including risk identification, appetite, aggregation, measurement, monitoring, control, reporting, escalation, and governance.
- Financial markets, products, financial advisory activities, investment processes, and related risk management considerations.
- Risk data, analytics, and reporting practices across financial and non-financial risk domains.
- Software Development Life Cycle (SDLC) frameworks (e.g. Waterfall, Agile).
- Federal Reserve, OCC, FINRA, SEC, and other relevant regulatory lenses applicable to risk data, analytics, reporting, and controls within banking, brokerage, and capital markets.
- Intermediate understanding of and hands on experience with SQL and Python.
- RDBMS (e.g. Oracle, Postgres) and distributed database platforms (e.g. Redshift, Snowflake).
- Hands on experience with industry standard business intelligence tooling (e.g. Tableau, Qlik, PowerBI).
- Work and project management tooling (e.g. SharePoint and Confluence wikis, MS Project, Smartsheet).
- Data management and governance concepts, including quality, lineage, metadata, documentation, reconciliation, and change management.
- Requirements gathering, solution design, implementation planning, testing, user acceptance, and production support for data, reporting, and analytics solutions.
Skill in
- Developing creative, pragmatic solutions to complex data, reporting, analytics, and technology matters.
- Preparing and delivering clear, effective, and professional presentations for technical, risk, business, and senior management while bridging communication between technical and non-technical audiences.
- Translating business, risk, and regulatory data needs into clear requirements, user stories, data specifications, process documentation, implementation plans, and other relevant artifacts.
- Effectively engaging with and influencing stakeholders outside direct reporting lines to drive alignment on scope, risks, timelines, dependencies, and issue resolution.
Ability to
- Apply a strong interest in technology, data, and analytics toward practical solutions that support risk management and help protect Raymond James and its clients.
- Lead assigned project teams and workstreams, including planning, task assignment, issue tracking, stakeholder updates, delivery oversight, and escalation of material risks or decisions.
- Shift seamlessly between the technical analysis of needs and opportunities, managing stakeholder engagement and communication, and overall execution and delivery management.
- Facilitate meetings and working sessions with mixed audiences, ensuring that key viewpoints, risks, issues, ideas, and decisions are captured and addressed.
- Evaluate the ROI of vendor tooling against competing and internally developed solutions.
Education
Bachelor’s: Computer and Information Science, Bachelor’s: Finance, Bachelor’s: Management Information Systems
Work Experience
General Experience - More than 15 years, Manager Experience - 10 to 15 years
Certifications
Salary Range
$175,000.00-$230,000.00
Travel
Less than 25%
Workstyle
Hybrid
The total compensation for this position includes base salary or wages, and may include components such as additional compensation (cash or equity), discretionary bonuses, or commissions. This position is eligible for a benefits package that may include medical, dental, and vision; life insurance; critical illness insurance and accident insurance; disability benefits; retirement savings; paid time off (including vacation, holidays, and sick leave); and parental leave. Eligibility for benefits and specific offerings may vary based on position and employment status. To view more details of the benefits offered, visit Myrjbenefits.com.
At Raymond James our associates use five guiding behaviors (Develop, Collaborate, Decide, Deliver, Improve) to deliver on the firm's core values of client-first, integrity, independence and a conservative, long-term view.
We expect our associates at all levels to:
- Grow professionally and inspire others to do the same
- Work with and through others to achieve desired outcomes
- Make prompt, pragmatic choices and act with the client in mind
- Take ownership and hold themselves and others accountable for delivering results that matter
- Contribute to the continuous evolution of the firm
At Raymond James – as part of our people-first culture, we honor, value, and respect the uniqueness, experiences, and backgrounds of all of our Associates. When associates bring their best authentic selves, our organization, clients, and communities thrive. The Company is an equal opportunity employer and makes all employment decisions on the basis of merit and business needs.
Job Description Summary
Under limited direction, the VP, Risk Data & Analytics will lead the analysis, design, development, and ongoing support of data, reporting, and analytics solutions across RJF Risk Management. The role will serve as a subject matter expert on Risk’s rapidly expanding data ecosystem and emerging capabilities, partnering closely with Risk Stripe Leads, Segment CROs, Risk Technology, and other stakeholders to expand risk measurement, reduce data-related friction, strengthen transparency and control, and drive accurate and intuitive risk reporting. The VP will transform challenges and opportunities into value-driven use cases and oversee the design and execution of concurrent Risk Data & Analytics and Risk Technology workstreams, ensuring that solutions are well documented, well governed, and aligned to the broader RJF Risk Management and Risk & Data Analytics strategic roadmaps.
Essential Duties and Responsibilities
- Lead the analysis, design, development, and ongoing support of tactical point solutions and scalable strategic capabilities supporting data, reporting, and analytics across RJF Risk Management.
- Serve as a subject matter expert on RJF Risk Management’s data and its various touch points across roles, platforms, and processes, especially upstream dependencies and downstream impact.
- Manage data transformation, entity consolidation, and risk aggregation processes used to report exposure to regulatory, audit, committee, executive management, and board level audiences.
- Increase the frequency, breadth, and depth of risk measurement capabilities by targeting data-related process friction through automation and process improvement.
- Build strong relationships with stakeholders and use techniques such as structured interviewing, group workshops, and free form whiteboarding sessions to solicit requirements and transform them into polished specifications and support artifacts for Risk Data & Analytics and Risk Technology.
- Actively manage a backlog and roadmap of risk management platform, data, analytics, reporting, dashboarding, workflow, and decision-support use cases.
- Continuously drive down total cost of ownership of data-driven solutions by promoting modular design, shared components, and configuration-driven development.
- Promote visual and user experience design concepts to deliver solutions that are pleasing to look at, intuitive to use and understand, elegant in their simplicity, and accessible to all who use them.
- Create and actively maintain documentation, visual artifacts, guides, and end user support materials.
- Establish a framework of observability, reproducibility, and auditability for analytics solutions that tightly manages experiments, model training, testing, inference, and ground truth and performance data integration while providing a sight glass for regulatory oversight, audit, and model risk management.
- Provide ad hoc reporting, visualization, and analytical support for regulatory, audit, compliance, business unit, and executive management inquiries.
- Manage assigned team members and delivery resources, including workload prioritization, coaching, performance management, and development planning.
Knowledge of
- Risk management concepts and practices, including risk identification, appetite, aggregation, measurement, monitoring, control, reporting, escalation, and governance.
- Financial markets, products, financial advisory activities, investment processes, and related risk management considerations.
- Risk data, analytics, and reporting practices across financial and non-financial risk domains.
- Software Development Life Cycle (SDLC) frameworks (e.g. Waterfall, Agile).
- Federal Reserve, OCC, FINRA, SEC, and other relevant regulatory lenses applicable to risk data, analytics, reporting, and controls within banking, brokerage, and capital markets.
- Intermediate understanding of and hands on experience with SQL and Python.
- RDBMS (e.g. Oracle, Postgres) and distributed database platforms (e.g. Redshift, Snowflake).
- Hands on experience with industry standard business intelligence tooling (e.g. Tableau, Qlik, PowerBI).
- Work and project management tooling (e.g. SharePoint and Confluence wikis, MS Project, Smartsheet).
- Data management and governance concepts, including quality, lineage, metadata, documentation, reconciliation, and change management.
- Requirements gathering, solution design, implementation planning, testing, user acceptance, and production support for data, reporting, and analytics solutions.
Skill in
- Developing creative, pragmatic solutions to complex data, reporting, analytics, and technology matters.
- Preparing and delivering clear, effective, and professional presentations for technical, risk, business, and senior management while bridging communication between technical and non-technical audiences.
- Translating business, risk, and regulatory data needs into clear requirements, user stories, data specifications, process documentation, implementation plans, and other relevant artifacts.
- Effectively engaging with and influencing stakeholders outside direct reporting lines to drive alignment on scope, risks, timelines, dependencies, and issue resolution.
Ability to
- Apply a strong interest in technology, data, and analytics toward practical solutions that support risk management and help protect Raymond James and its clients.
- Lead assigned project teams and workstreams, including planning, task assignment, issue tracking, stakeholder updates, delivery oversight, and escalation of material risks or decisions.
- Shift seamlessly between the technical analysis of needs and opportunities, managing stakeholder engagement and communication, and overall execution and delivery management.
- Facilitate meetings and working sessions with mixed audiences, ensuring that key viewpoints, risks, issues, ideas, and decisions are captured and addressed.
- Evaluate the ROI of vendor tooling against competing and internally developed solutions.
Education
Bachelor’s: Computer and Information Science, Bachelor’s: Finance, Bachelor’s: Management Information Systems
Work Experience
General Experience - More than 15 years, Manager Experience - 10 to 15 years
Certifications
Salary Range
$175,000.00-$230,000.00
Travel
Less than 25%
Workstyle
Hybrid
The total compensation for this position includes base salary or wages, and may include components such as additional compensation (cash or equity), discretionary bonuses, or commissions. This position is eligible for a benefits package that may include medical, dental, and vision; life insurance; critical illness insurance and accident insurance; disability benefits; retirement savings; paid time off (including vacation, holidays, and sick leave); and parental leave. Eligibility for benefits and specific offerings may vary based on position and employment status. To view more details of the benefits offered, visit Myrjbenefits.com.
At Raymond James our associates use five guiding behaviors (Develop, Collaborate, Decide, Deliver, Improve) to deliver on the firm's core values of client-first, integrity, independence and a conservative, long-term view.
We expect our associates at all levels to:
- Grow professionally and inspire others to do the same
- Work with and through others to achieve desired outcomes
- Make prompt, pragmatic choices and act with the client in mind
- Take ownership and hold themselves and others accountable for delivering results that matter
- Contribute to the continuous evolution of the firm
At Raymond James – as part of our people-first culture, we honor, value, and respect the uniqueness, experiences, and backgrounds of all of our Associates. When associates bring their best authentic selves, our organization, clients, and communities thrive. The Company is an equal opportunity employer and makes all employment decisions on the basis of merit and business needs.
See All 98 Risk Data Analyst Jobs in New York
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Find Risk Data Analyst JobsRisk Data Analyst Jobs by City in New York
Where New York roles are concentrated, by current openings.
Risk Data Analyst Job Market in New York
A snapshot from current New York openings, updated as new roles post.
Who's Hiring
- Goldman Sachs7
- Morgan Stanley7
- Citi5
- Amazon4
- BlackRock4
Top Industries Hiring
- Investment & Asset Management30
- Banking & Financial Services23
- Technology & Software18
- Law & Legal Services6
- Consulting & Professional Services5
What New York Employers Look For
The qualifications that appear most often in risk data analyst jobs across New York.
- Bachelor's degree in statistics, mathematics, finance, or a quantitative field required
- Proficiency in SQL and at least one statistical programming language such as Python or R
- Experience with risk modeling frameworks including credit, market, or operational risk
- Familiarity with regulatory requirements such as Basel III, CCAR, or DFAST reporting
- Strong data visualization skills using tools like Tableau, Power BI, or similar platforms
- Effective written and verbal communication skills for presenting findings to non-technical stakeholders
Risk Data Analyst Jobs in New York: Frequently Asked Questions
How do you become a risk data analyst in New York?
Most risk data analyst roles in New York require a bachelor's degree in a quantitative discipline such as statistics, mathematics, economics, or computer science, with many financial services employers preferring a master's degree for senior positions. There is no state-issued license specific to this role in New York, but professional certifications like the Financial Risk Manager credential administered by the Global Association of Risk Professionals are widely recognized by New York employers and can strengthen a candidate's profile considerably.
How much do risk data analysts make in New York?
Risk data analysts in New York earn a median of about $136,830 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $84,550 for the lowest 10% to over $220,260 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire risk data analysts in New York?
Employers hiring risk data analysts in New York right now include Goldman Sachs, Morgan Stanley, and Citi, based on current listings on Migrate Mate as of June 2026. New York's dense concentration of global banks, insurance carriers, and fintech firms means demand for this role stays consistent throughout the year across a wide range of company sizes.
Which New York cities have the most risk data analyst jobs?
New York, Harrison, and Brooklyn account for the largest share of risk data analyst openings in New York. New York City dominates because of its concentration of global financial institutions and insurance headquarters, while cities like White Plains and Albany draw demand from regional banks, state agencies, and insurance firms that maintain significant analytics operations outside the five boroughs.
Are there remote risk data analyst jobs in New York?
Yes, and more than most fields, given that risk data analysis is a desk-based, analytical role well suited to remote work. About 29% of risk data analyst openings tied to New York are remote or hybrid as of June 2026, reflecting how widely financial services firms have adopted flexible arrangements. Modeling, reporting, and data pipeline work are the tasks most commonly performed fully remotely.
How can I get hired as a risk data analyst in New York with little or no experience?
The most realistic entry path is a junior data analyst or risk analyst associate role within a large New York financial institution, where rotational programs at firms like JPMorgan Chase, Citigroup, and Goldman Sachs bring in recent graduates for structured two-year placements. Adjacent roles in financial reporting, credit operations, or quantitative research provide transferable experience, and completing a project-based portfolio in Python or R that demonstrates credit or market risk modeling gives candidates a measurable edge over other applicants without direct experience.
Where can I find and apply to risk data analyst jobs in New York?
You can find and apply to risk data analyst jobs in New York on Migrate Mate, which lists current openings tied to the New York market. Search the listings, find the roles that fit your background and preferred location, and apply directly to each one without needing to create a profile or sign up first.
See All 98 Risk Data Analyst Jobs in New York
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