OPT Risk Data Analyst Jobs
Risk Data Analyst roles are a strong fit for F-1 OPT students with backgrounds in statistics, finance, or data science. Most positions qualify as STEM-designated roles, supporting a 24-month OPT extension. Employers in banking, insurance, and fintech regularly sponsor H-1B visas for this role.
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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 OPT Risk Data Analyst Jobs
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Get Access To All JobsTips for Finding OPT Sponsorship as a Risk Data Analyst
Target STEM-eligible employers first
Risk Data Analyst roles at banks, insurance firms, and financial technology companies are almost always classified under STEM SOC codes. Prioritizing these employers maximizes your 24-month OPT extension eligibility and gives you more time to secure H-1B sponsorship.
Emphasize quantitative skills in your application
Employers sponsoring OPT students for risk roles want to see proficiency in SQL, Python, or R alongside experience with credit, market, or operational risk models. Concrete examples from coursework or internships signal you can contribute immediately without a long ramp-up period.
Understand your OPT employment requirements
Your risk analyst work must be directly related to your degree field to remain authorized under OPT. A finance or statistics degree supports most risk roles cleanly. If your degree is tangential, document the connection carefully before your DSO certifies employment.
Ask about H-1B sponsorship early but tactfully
Raise visa sponsorship after receiving an offer, not during early interviews. Ask specifically whether the company has sponsored H-1B petitions for risk or analytics roles before. A clear yes from a past hire in a similar position is the strongest signal you can get.
Build a profile that reduces perceived sponsorship risk
Employers hesitate when sponsorship feels uncertain. A strong GPA in a quantitative field, relevant certifications like FRM or CFA Level 1, and demonstrated experience with regulatory frameworks like Basel III reduce that hesitation significantly for risk-focused hiring managers.
Track your OPT authorization dates precisely
Risk analyst hiring cycles at large financial institutions move slowly. Know your OPT end date and the STEM extension application window. Filing the extension late disqualifies you from the 60-day grace period and can create an employment gap that complicates sponsorship timelines.
Risk Data Analyst OPT: Frequently Asked Questions
Do Risk Data Analyst jobs qualify for the STEM OPT extension?
Most Risk Data Analyst positions qualify for the 24-month STEM OPT extension because they fall under SOC codes in mathematics, statistics, or computer and information science. The specific SOC code your employer assigns matters. Before accepting an offer, confirm that the role is coded under a STEM-designated category. Your DSO can verify this against the official STEM OPT designation list.
How do I find Risk Data Analyst employers who sponsor OPT and H-1B visas?
Migrate Mate is built specifically for F-1 OPT students and filters jobs by sponsorship willingness, so you can browse Risk Data Analyst roles at employers who have a track record of sponsoring work visas. Large banks, insurance carriers, and fintech firms are the most consistent sponsors in this field. Avoid applying broadly and instead focus on employers with demonstrated sponsorship history.
Does my degree field need to match a Risk Data Analyst role for OPT authorization?
Yes. OPT requires that your employment be directly related to your degree. Statistics, applied mathematics, data science, economics, and finance degrees all connect cleanly to risk analyst work. Engineering degrees with quantitative coursework can also qualify. If the connection is indirect, document it in writing with your DSO before starting the role, since USCIS can audit OPT employment relevance.
Can I work as a contractor or consultant in a Risk Data Analyst role on OPT?
You can work as a contractor, but the arrangement requires careful structure. You must have a real employer-employee relationship with a U.S. entity, meaning that entity must sign your Form I-983 for STEM OPT. Staffing agency placements where the agency is your legal employer are permitted, but pure self-employment or independent contracting without an employer of record is not authorized under OPT.
What happens to my OPT status if I lose my Risk Data Analyst job?
You have a 60-day grace period after your employment ends during the standard OPT period, and a 60-day grace period during the STEM extension as well. During that window, you must either find a new qualifying risk analyst role, transfer to a different visa status, or prepare to depart. Report the job separation to your DSO immediately. Delaying that report can create compliance issues that complicate future sponsorship applications.