Finance STEM OPT Jobs in Virginia
Finance F-1 STEM OPT sponsorship jobs in Virginia are concentrated in the Northern Virginia corridor near Washington, D.C., where firms like Capital One, Freddie Mac, and Booz Allen Hamilton have established operations. Quantitative analysis, financial technology, and risk modeling roles with STEM-designated CIP codes are among the most commonly sponsored positions in the state.
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Get Access To All JobsAt Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.
Position Overview:
Freddie Mac’s Single Family Division is currently seeking an Quantitative Analytics senior. In this role, you will be responsible for the development and execution of quantitative analytic models and applications in support of business and risk decisions as a member of the back-end modeling team within Single Family Modeling. Areas will include: loan modification, short sale, foreclosure sale auction, distressed property valuation and pricing.
Our Impact:
We are responsible for developing Single Family portfolio credit risk management models in the area of servicing and liquidation. These are directly applicable to the $3 trillion Single Family credit portfolio, delinquent loans and distressed assets.
Your Impact:
- Developing analytical methods and models that assess the credit risk of new and existing financial and mortgage products
- Providing resolutions to an extensive range of complicated problems; solutions are innovative, thorough, and practicable
- Providing modeling and analytical support to a line of business or product area
- Working under limited direction, independently determining and developing approach to solutions.
Qualifications
- PhD in economics, finance, statistics, or a related quantitative discipline, or Master’s degree with 3+ years of relevant experience.
- Strong expertise in predictive modeling, econometrics, optimization, machine learning, and/or Monte Carlo simulation methods.
- Proficiency in one or more programming languages such as Python, R, C++, SQL, or SAS
- Ability to perform independent model development, data processing and cleaning
- Demonstrated knowledge of AI tools and technologies, with a strong commitment to continuous learning and staying up-to-date with advancements in artificial intelligence
Keys to Success in this Role:
- Training and experience with credit risk models
- Collaborative and professional approach working in a team setting
Current Freddie Mac employees please apply through the internal career site.
We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
A safe and secure environment is critical to Freddie Mac’s business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.
CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.
Time-type: Full time
FLSA Status: Exempt
Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.
This position has an annualized market-based salary range of $126,000 - $190,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.
At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.
Position Overview:
Freddie Mac’s Single Family Division is currently seeking an Quantitative Analytics senior. In this role, you will be responsible for the development and execution of quantitative analytic models and applications in support of business and risk decisions as a member of the back-end modeling team within Single Family Modeling. Areas will include: loan modification, short sale, foreclosure sale auction, distressed property valuation and pricing.
Our Impact:
We are responsible for developing Single Family portfolio credit risk management models in the area of servicing and liquidation. These are directly applicable to the $3 trillion Single Family credit portfolio, delinquent loans and distressed assets.
Your Impact:
- Developing analytical methods and models that assess the credit risk of new and existing financial and mortgage products
- Providing resolutions to an extensive range of complicated problems; solutions are innovative, thorough, and practicable
- Providing modeling and analytical support to a line of business or product area
- Working under limited direction, independently determining and developing approach to solutions.
Qualifications
- PhD in economics, finance, statistics, or a related quantitative discipline, or Master’s degree with 3+ years of relevant experience.
- Strong expertise in predictive modeling, econometrics, optimization, machine learning, and/or Monte Carlo simulation methods.
- Proficiency in one or more programming languages such as Python, R, C++, SQL, or SAS
- Ability to perform independent model development, data processing and cleaning
- Demonstrated knowledge of AI tools and technologies, with a strong commitment to continuous learning and staying up-to-date with advancements in artificial intelligence
Keys to Success in this Role:
- Training and experience with credit risk models
- Collaborative and professional approach working in a team setting
Current Freddie Mac employees please apply through the internal career site.
We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
A safe and secure environment is critical to Freddie Mac’s business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.
CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.
Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.
Time-type: Full time
FLSA Status: Exempt
Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.
This position has an annualized market-based salary range of $126,000 - $190,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.
STEM OPT Finance Job Roles in Virginia
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Search Finance Jobs in VirginiaFinance STEM OPT Sponsorship Jobs in Virginia: Frequently Asked Questions
Which finance companies sponsor F-1 STEM OPT visas in Virginia?
Virginia's finance sector includes several employers with documented STEM OPT sponsorship activity. Capital One, headquartered in McLean, is a consistent sponsor of quantitative and data-focused finance roles. Freddie Mac in McLean and Fannie Mae in Reston regularly hire for financial modeling and risk analytics positions. Federal contractors with finance divisions, such as Booz Allen Hamilton and Leidos, also sponsor STEM OPT candidates in the Northern Virginia area.
Which cities in Virginia have the most finance F-1 STEM OPT sponsorship jobs?
Northern Virginia dominates finance STEM OPT sponsorship, with McLean, Tysons, Reston, and Arlington offering the highest concentration of roles. McLean alone hosts major financial institutions and government-adjacent finance firms. Richmond has a growing finance presence through financial services companies and insurance-sector employers. Virginia Beach and Norfolk have smaller but active finance markets tied to defense contracting and regional banking operations.
What types of finance roles typically qualify for F-1 STEM OPT sponsorship?
Roles qualifying for STEM OPT extension must fall under a STEM-designated Classification of Instructional Programs code and require a directly related STEM degree. In finance, this typically includes quantitative analyst, financial data scientist, risk modeling analyst, algorithmic trading developer, and financial engineer positions. General finance roles such as financial advisor or relationship manager often do not qualify because they do not require a STEM degree specifically. Checking the O*NET classification for a given role can help clarify eligibility.
How do I find finance F-1 STEM OPT sponsorship jobs in Virginia?
Migrate Mate is built specifically for international students seeking STEM OPT sponsorship, letting you filter finance roles in Virginia by employer sponsorship history. Unlike general job boards, Migrate Mate surfaces companies that have actively sponsored F-1 STEM OPT candidates, so you can focus your applications on employers already familiar with the authorization process. Filtering by Northern Virginia cities like McLean, Reston, and Arlington will surface the highest density of finance sponsorship opportunities in the state.
Are there state-specific or industry-specific considerations for F-1 STEM OPT in Virginia's finance sector?
Virginia's proximity to federal regulatory agencies means many finance employers operate in compliance-heavy environments and have established international hiring processes. Employers holding federal contracts are required to use E-Verify, which aligns with STEM OPT requirements since STEM OPT employers must also be enrolled in E-Verify. Virginia does not impose additional state-level visa sponsorship restrictions, but finance roles at federally regulated institutions may involve security clearance considerations that can affect sponsorship timelines independently of USCIS processing.