Analytics Manager Visa Sponsorship Jobs in Virginia
Virginia's analytics manager job market is anchored by a dense concentration of federal contractors, technology firms, and government agencies across the Northern Virginia corridor and the D.C. suburbs. Employers like Booz Allen Hamilton, Leidos, SAIC, and Amazon Web Services regularly sponsor skilled foreign workers for data and analytics leadership roles.
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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 a Quantitative Analytics Senior to be responsible for the development and execution of statistical models and applications in support of business and risk decisions as a member of the Credit Risk Modeling Team.
Our Impact:
Our team is responsible for the development and analytic support of credit risk models, supports the Single-Family business for risk decisions. We apply econometric, machine learning and statistical modeling to understand business problems and produce credit risk forecast for the mortgage portfolio.
Your Impact:
- Developing analytical methods and models that assess the credit risk of new and existing financial and mortgage products.
- Providing innovative, detailed and practical solutions to an extensive range of fast paced and complicated problems.
- Developing and validating loss forecasting models, conducting research on improvements to the existing models, and applying industry standard methodologies and techniques to meet various business needs.
- Coordinating the testing through the model implementation, conducting back tests to monitor the model performance, and performing economic tests and stress tests to validate the model forecast results.
- Providing modeling and analytical support to a line of business or product area, functioning as day-to-day technical specialist.
- Preparing documentation for the technical analytics and rationale through the model development to comply with model oversight and support model review for approval.
- Working under limited direction, independently determining and developing approach to solutions.
Qualifications
- PhD in Economics, Statistics, Math, Computer Science or a related quantitative field; or Master's degree with at least 3 years of related post-graduate work experience
- Strong programming skills in Python, SQL, SAS and Unix
- Experience with programming language such as R, VBA, Java or C++
- Experience working with large data sets and relational database
- Experience working with mortgage or consumer credit risk models, prepayment models and severity models
- Experience with competing-risk hazard models, transition models, loss forecasting and stress testing
- Experience in data science, machine learning and related technologies
Keys to Success in this Role:
- Outstanding quantitative, empirical analysis, and research skills
- Solid understanding of econometric models, tools and techniques
- Strong programming skills
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 a Quantitative Analytics Senior to be responsible for the development and execution of statistical models and applications in support of business and risk decisions as a member of the Credit Risk Modeling Team.
Our Impact:
Our team is responsible for the development and analytic support of credit risk models, supports the Single-Family business for risk decisions. We apply econometric, machine learning and statistical modeling to understand business problems and produce credit risk forecast for the mortgage portfolio.
Your Impact:
- Developing analytical methods and models that assess the credit risk of new and existing financial and mortgage products.
- Providing innovative, detailed and practical solutions to an extensive range of fast paced and complicated problems.
- Developing and validating loss forecasting models, conducting research on improvements to the existing models, and applying industry standard methodologies and techniques to meet various business needs.
- Coordinating the testing through the model implementation, conducting back tests to monitor the model performance, and performing economic tests and stress tests to validate the model forecast results.
- Providing modeling and analytical support to a line of business or product area, functioning as day-to-day technical specialist.
- Preparing documentation for the technical analytics and rationale through the model development to comply with model oversight and support model review for approval.
- Working under limited direction, independently determining and developing approach to solutions.
Qualifications
- PhD in Economics, Statistics, Math, Computer Science or a related quantitative field; or Master's degree with at least 3 years of related post-graduate work experience
- Strong programming skills in Python, SQL, SAS and Unix
- Experience with programming language such as R, VBA, Java or C++
- Experience working with large data sets and relational database
- Experience working with mortgage or consumer credit risk models, prepayment models and severity models
- Experience with competing-risk hazard models, transition models, loss forecasting and stress testing
- Experience in data science, machine learning and related technologies
Keys to Success in this Role:
- Outstanding quantitative, empirical analysis, and research skills
- Solid understanding of econometric models, tools and techniques
- Strong programming skills
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.
Analytics Manager Job Roles in Virginia
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Search Analytics Manager Jobs in VirginiaAnalytics Manager Jobs in Virginia: Frequently Asked Questions
Which companies sponsor visas for analytics managers in Virginia?
Federal contractors and technology companies account for a significant share of analytics manager sponsorships in Virginia. Employers such as Booz Allen Hamilton, Leidos, SAIC, ManTech, and Amazon Web Services have established track records of filing H-1B visa petitions for data and analytics roles. Large financial services firms and consulting companies with Northern Virginia offices, including Deloitte and Capital One, also sponsor analytics managers regularly.
Which visa types are most common for analytics manager roles in Virginia?
The H-1B is the most common visa category for analytics managers in Virginia, given that the role typically requires at least a bachelor's degree in a quantitative field such as statistics, computer science, or economics. Some candidates with Canadian or Mexican citizenship qualify under the TN visa for roles classified under related professional categories. Individuals with advanced degrees and exceptional research profiles may also explore the O-1A or EB-1A pathways, though these require substantial evidence of distinction in the field.
Which cities in Virginia have the most analytics manager sponsorship jobs?
Northern Virginia, particularly Arlington, McLean, Tysons, and Reston, holds the greatest concentration of analytics manager sponsorship opportunities in the state due to its proximity to federal agencies and a dense tech sector sometimes called the Data Center Alley. Richmond is a secondary market with sponsoring employers in financial services and healthcare analytics. Virginia Beach has a smaller but active market tied to defense and logistics firms.
How to find analytics manager visa sponsorship jobs in Virginia?
Migrate Mate is built specifically for international candidates seeking visa sponsorship, making it a practical starting point for analytics manager roles in Virginia. You can filter by state and job title to surface positions where employers have a documented history of sponsoring foreign workers. This saves time compared to sorting through postings that do not address sponsorship at all, which is especially useful given how competitive Northern Virginia's analytics hiring market is.
Are there state-specific considerations for analytics managers pursuing sponsorship in Virginia?
Virginia's high density of federal contractors introduces a notable consideration: many analytics manager roles require security clearances, and non-citizens generally cannot obtain most clearance levels, which can reduce the pool of open positions. However, unclassified contractor roles and purely commercial technology employers in Northern Virginia remain accessible. Virginia universities such as George Mason and Virginia Tech also produce graduate talent pipelines that employers in the state are familiar with when building sponsorship cases for analytics professionals.
What is the prevailing wage for sponsored analytics manager jobs in Virginia?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.