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Analytics and Modeling Associate

Fannie Mae
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This full-time associate role, beginning on June 28, 2027, has a set annual gross base salary of $110,000 a year.

 

This position has multiple openings and will be based in our Washington D.C. (Midtown Center) office.

 

WHY STUDENTS CHOOSE FANNIE MAE:

  • Build a career with purpose at the intersection of technology, finance, and national impact.
  • Work on innovative, enterprise-scale solutions that help make homeownership and rental housing more accessible for millions of people across the country.
  • Gain hands-on experience in a technology-enabled environment that encourages curiosity, innovation, and the responsible use of emerging tools, including artificial intelligence, to improve how we work and solve problems.
  • Be treated as a real contributor from day one — collaborating across teams, working alongside experienced leaders, and gaining exposure to complex business challenges.
  • Benefit from mentorship, professional development, and networking opportunities designed to help you grow your career and expand your professional network.
  • Make a meaningful impact while developing the tools, exposure, and experience to succeed in your career.

 

THE IMPACT YOU WILL MAKE

The Analytics and Modeling Program offers you an opportunity to develop analytical skills through in-depth technical and business training, and to ultimately leverage those skills and quantitative expertise to power intelligent decisions for managing the business, financial reporting, and risk control.

 

THE TRAINING PROGRAM

You will participate in a 10-week seminar-style training designed to strengthen your mortgage industry knowledge and quantitative analytics capabilities. Business courses provide comprehensive coverage of key business areas, such as Underwriting and Pricing, Capital Markets, Loss Mitigation, and Risk Management, whereas technical courses cover foundational Statistics, SQL, R, and Python.

Through hands-on experience and interaction with the analytics teams during the training, you will gain a strong understanding of Fannie Mae’s business and have a quick start on your technical capability.

After training completion, you will be assigned to an analytics-focused team within Fannie Mae based on business needs, program demand, and candidate skills and interests. Placement areas vary by year and may include analytics teams in Single-Family, Finance, Enterprise Risk, or AI Accelerator.

 

Depending on your team placement, you may contribute to work such as:

  • Applying advanced analytics, machine learning, and econometric techniques to solve complex business problems and support informed decisions
  • Creating intuitive, self-service analytics tools that make insights easier to access and understand
  • Crafting analytical narratives using effective data visualization techniques
  • Building models that forecast loan performance, property values, home prices, and other factors critical to financial and regulatory reporting
  • Conducting sensitivity and scenario analyses to assess the potential financial and capital impacts of changing market conditions, key assumptions, and alternative strategic initiatives

 

ADDITIONAL DEVELOPMENT YOU’LL RECEIVE

Jumpstart your journey with First Year Forward (FYF)—a comprehensive, year-long development experience designed to accelerate the success of early-career talent at Fannie Mae. Through a structured program that blends curated learning, cross-functional networking, and social engagement, you will build a strong foundation in business and professional acumen.

Throughout your first year, FYF offers mentorship, executive speaker sessions, and hands-on learning opportunities designed to deepen your understanding of how Fannie Mae creates value while supporting U.S. homeowners and renters, and to help you build meaningful relationships across the organization.

 

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Qualifications

  • Authorization to work in the U.S. without sponsorship
  • Academic achievement (preferred GPA of 3.3 or higher)
  • Bachelor’s or Master’s degree obtained between December 2026 and Spring 2027
  • Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work.

 

Preferred Qualifications

  • Degree in Mathematics, Computer Science, Statistics, Data Science, or Economics with a quantitative focus
  • Exposure to programming languages such as R, Python, and SQL
  • Strong analytical background
  • Demonstrated leadership capabilities and the ability to contribute to a team atmosphere
  • Demonstrated research and numerical problem-solving skills
  • Self-starter with a strong business acumen and a results-focused mindset
  • Superior communication skills, both oral and written
  • Fluency and aptitude with technology applications