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.
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Get Access To All JobsINTRODUCTION
Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home.
ROLE AND RESPONSIBILITIES
As a valued colleague on our team, you will contribute to risk monitoring and reviews for the organization, coordinate risk mitigation activities, and provide risk mitigation assistance to other groups.
Please note this position can be based out of one of our 3 Hub Offices in Plano, TX, Reston, VA or Washington DC.
The Book Portfolio Credit Risk Senior Associate role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:
- Assist team with monitoring and identifying risks to our portfolio through data analysis.
- Report on risks and participate in developing solutions.
- Provide data and quantitative analytics support to the SF leadership related to credit risk.
- Perform analysis to develop risk outlook to facilitate forward-looking credit risk management.
- Conduct research on emerging risks, to identify, assess and report emerging risks based on economic, market and other conditions.
- Assist with coordinating risk activities across groups.
- Support team with risk mitigation strategies.
- Carry out tasks to avoid risks or mitigate their impact.
- Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work.
BASIC QUALIFICATIONS
Desired Experience:
- Bachelor's degree or equivalent; advanced degrees in related areas (e.g. quantitative finance, economics, statistics, etc.) preferred. At least 2 years' full-time working experience in related areas required.
- Possess an understanding of residential mortgage credit risk as well as experience analyzing portfolio characteristics, identifying risk drivers, and proposing risk mitigation solutions.
- Credit risk modeling and stress testing experience a plus.
- Experience with data analysis and utilizing data to identify trends or relationships to provide insights and inform decisions based on sound analysis. Experience gathering accurate information to explain rationale and answer critical questions.
- Experience monitoring, forecasting, and measuring credit risk, conducting risk assessments, and identifying gaps in existing risk monitoring frameworks.
- Strong skills in data query and processing using such tools as SQL, Python, and R.
- Experience in utilizing AI tools and technologies (such as ChatGPT, Copilot) to improve process, generate deliverables and gain efficiencies.
- Excellent verbal and written communication skills. Skilled in graphical representation of information using charts, diagrams, and dashboards with programs and tools such as Excel, Tableau, or Power BI. Proven ability to present information and ideas to audiences in a compelling way that is engaging and easy to understand.
- Demonstrated relationship management skills with the ability to manage and engage stakeholders and build relationship networks. Able to effectively work with people with different functional expertise respectfully and cooperatively towards a common goal.
- Experience in influencing including persuading others, facilitating meetings, and resolving conflict to improve or correct performance to achieve desired outcomes.
- Skilled in Tableau.
- Skilled in Excel.
- Experience with SQL, Python, R.
PREFERRED QUALIFICATIONS
Qualifications: Amazon Web Services (AWS), Amazon Web Services (AWS), Artificial Intelligence (AI), Collaborating Cross-Functionally, Communication, Credit Risk Analysis, Credit Risk Modeling, Credit Risk Reporting, Data Analysis Interpretation, Data Mining, Data Query, Data Query Language, Data Visualization, Documentation Reporting, Identifying Risks, Machine Learning (AI), Predictive Modeling, Python (Programming Language), Quantitative Risk Analysis, Relationship Networking, Research Facilitation, Residential Mortgages, Risk Analysis, Risk Assessments, Risk Monitoring.
Education
Bachelor's Level Degree (Required), Master's Level Degree.
LOCATION
This position can be based out of one of our 3 Hub Offices in Plano, TX, Reston, VA or Washington DC.
For most roles, employees are expected to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.
COMPENSATION
The hiring range for this role is set forth below. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being.
- Requisition compensation: 96000 to 124000
Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form.
The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers.
INTRODUCTION
Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home.
ROLE AND RESPONSIBILITIES
As a valued colleague on our team, you will contribute to risk monitoring and reviews for the organization, coordinate risk mitigation activities, and provide risk mitigation assistance to other groups.
Please note this position can be based out of one of our 3 Hub Offices in Plano, TX, Reston, VA or Washington DC.
The Book Portfolio Credit Risk Senior Associate role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:
- Assist team with monitoring and identifying risks to our portfolio through data analysis.
- Report on risks and participate in developing solutions.
- Provide data and quantitative analytics support to the SF leadership related to credit risk.
- Perform analysis to develop risk outlook to facilitate forward-looking credit risk management.
- Conduct research on emerging risks, to identify, assess and report emerging risks based on economic, market and other conditions.
- Assist with coordinating risk activities across groups.
- Support team with risk mitigation strategies.
- Carry out tasks to avoid risks or mitigate their impact.
- Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work.
BASIC QUALIFICATIONS
Desired Experience:
- Bachelor's degree or equivalent; advanced degrees in related areas (e.g. quantitative finance, economics, statistics, etc.) preferred. At least 2 years' full-time working experience in related areas required.
- Possess an understanding of residential mortgage credit risk as well as experience analyzing portfolio characteristics, identifying risk drivers, and proposing risk mitigation solutions.
- Credit risk modeling and stress testing experience a plus.
- Experience with data analysis and utilizing data to identify trends or relationships to provide insights and inform decisions based on sound analysis. Experience gathering accurate information to explain rationale and answer critical questions.
- Experience monitoring, forecasting, and measuring credit risk, conducting risk assessments, and identifying gaps in existing risk monitoring frameworks.
- Strong skills in data query and processing using such tools as SQL, Python, and R.
- Experience in utilizing AI tools and technologies (such as ChatGPT, Copilot) to improve process, generate deliverables and gain efficiencies.
- Excellent verbal and written communication skills. Skilled in graphical representation of information using charts, diagrams, and dashboards with programs and tools such as Excel, Tableau, or Power BI. Proven ability to present information and ideas to audiences in a compelling way that is engaging and easy to understand.
- Demonstrated relationship management skills with the ability to manage and engage stakeholders and build relationship networks. Able to effectively work with people with different functional expertise respectfully and cooperatively towards a common goal.
- Experience in influencing including persuading others, facilitating meetings, and resolving conflict to improve or correct performance to achieve desired outcomes.
- Skilled in Tableau.
- Skilled in Excel.
- Experience with SQL, Python, R.
PREFERRED QUALIFICATIONS
Qualifications: Amazon Web Services (AWS), Amazon Web Services (AWS), Artificial Intelligence (AI), Collaborating Cross-Functionally, Communication, Credit Risk Analysis, Credit Risk Modeling, Credit Risk Reporting, Data Analysis Interpretation, Data Mining, Data Query, Data Query Language, Data Visualization, Documentation Reporting, Identifying Risks, Machine Learning (AI), Predictive Modeling, Python (Programming Language), Quantitative Risk Analysis, Relationship Networking, Research Facilitation, Residential Mortgages, Risk Analysis, Risk Assessments, Risk Monitoring.
Education
Bachelor's Level Degree (Required), Master's Level Degree.
LOCATION
This position can be based out of one of our 3 Hub Offices in Plano, TX, Reston, VA or Washington DC.
For most roles, employees are expected to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.
COMPENSATION
The hiring range for this role is set forth below. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being.
- Requisition compensation: 96000 to 124000
Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form.
The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers.
See all 87+ 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.