H-1B Visa Risk Data Analyst Jobs
Risk Data Analyst roles sit squarely within H-1B visa specialty occupation criteria, requiring at least a bachelor's degree in statistics, mathematics, finance, or a related quantitative field. Employers in banking, insurance, and fintech regularly sponsor H-1B petitions for this role, making it one of the more accessible paths for international professionals building a U.S. risk analytics career.
Find H-1B Visa Risk Data Analyst JobsOverview
Showing 5 of 616+ Risk Data Analyst jobs
See all 616+ Risk Data Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Risk Data Analyst roles.
Get Access To All JobsJob 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 616+ H-1B Visa Risk Data Analyst Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new H-1B Visa Risk Data Analyst Jobs.
Get Access To All JobsTips for Finding H-1B Visa Sponsorship as a Risk Data Analyst
Align your degree to SOC codes
Risk Data Analyst positions map to SOC 15-2051 (Data Scientists) or 13-2099 (Financial Analysts). Confirm your degree field matches the employer's LCA job description before applying. A mismatch is a common RFE trigger.
Use OFLC Wage Search before negotiating
Pull the prevailing wage for your target SOC code, experience level, and metro area through OFLC Wage Search. Your offered salary must meet or exceed that figure for the LCA to be certified, so verify this before accepting an offer.
Target E-Verify enrolled employers early
STEM OPT extensions require your employer to be E-Verify enrolled. For Risk Data Analyst roles that qualify under CIP code 27.0501 or similar STEM codes, confirm enrollment status before your OPT end date so your cap-gap window stays intact.
Search verified H-1B sponsors on Migrate Mate
Filter by risk analytics roles on Migrate Mate to see employers with documented H-1B LCA filing history in quantitative finance and data functions. This narrows your outreach to companies that have already cleared DOL certification for this role type.
Request premium processing at the offer stage
USCIS premium processing reduces adjudication to 15 business days. Ask your prospective employer whether they'll elect premium processing with the I-129 filing. It's a reasonable request for mid-cycle hires who can't afford a five-month wait.
Document your analytical tools in your resume
H-1B specialty occupation requires theoretical and practical application of specialized knowledge. Listing Python, SQL, SAS, or risk modeling frameworks directly supports the employer's I-129 argument that your role requires degree-level expertise, not general data work.
H-1B Visa Risk Data Analyst: Frequently Asked Questions
Does a Risk Data Analyst role qualify as an H-1B specialty occupation?
Yes, Risk Data Analyst roles qualify when the position requires at least a bachelor's degree in a specific field such as statistics, mathematics, economics, or finance. The employer must demonstrate that the degree is a normal requirement for the position, not just preferred. Roles that accept any bachelor's degree regardless of field are more likely to face an RFE from USCIS challenging the specialty occupation classification.
Which employers sponsor H-1B visas for Risk Data Analyst positions?
Banks, insurance carriers, hedge funds, and fintech companies are the most consistent H-1B sponsors for Risk Data Analyst roles, given their large quantitative teams and established immigration infrastructure. You can browse employers with verified H-1B LCA filing history in this field on Migrate Mate, which surfaces DOL Labor Condition Application data by role and employer so you can target companies that have already sponsored similar positions.
What happens to my H-1B status if my risk analyst role changes significantly at the same employer?
A material change in job duties, location, or SOC code classification can require your employer to file an amended I-129 petition with USCIS. If your role shifts from risk modeling to a generalist data function, or if you move to a different metropolitan area permanently, an amendment is typically required. Working without an amended petition when one is required can jeopardize your status.
Can I use O*NET to support my H-1B specialty occupation argument?
Yes. The O*NET profile for data scientists and quantitative analysts documents the degree requirements, knowledge areas, and skills associated with these roles. Employers and attorneys reference O*NET when building the specialty occupation argument in the I-129 petition. If your job description aligns with the tasks and education requirements listed in O*NET, it strengthens the evidentiary record submitted to USCIS.
How does the H-1B lottery affect my timeline for starting a Risk Data Analyst role?
The annual H-1B cap lottery opens in March, with selected registrants invited to file I-129 petitions for an October 1 start date. If you're on OPT when your petition is selected, the cap-gap rule extends your work authorization through September 30 while USCIS adjudicates. Employers hiring for risk analytics roles mid-year often use premium processing to compress the adjudication window after lottery selection.