Fannie Mae is looking to solve business problems by leveraging data and quantitative expertise to power quality and intelligent decisions for managing the business, financial reporting, risk control, and delegation capabilities.
Requirements
- Statistics, SQL, R, and Python
- AI/ML and econometric modeling
- data visualization
- web-based self-service solutions
- analytics infrastructure design
- Data Science, Computer Science, Math, Finance, Statistics, and Economics with a quantitative focus majors are preferred
- Strong analytical background
Responsibilities
- develop and implement analytical skills by providing research into analytic capabilities
- producing insights
- providing consultative services
- leveraging our data and quantitative expertise to ultimately power quality and intelligent decisions for managing the business, financial reporting, risk control and delegation capabilities
- provide insights that are powerful, easy to access, and easy to understand through AI/ML and econometric modeling, data visualization, web-based self-service solutions, and analytics infrastructure design
- Building and applying models of Single-Family and Multifamily loan performance and valuation, property valuation and home price forecasting to deliver critical estimates for use in financial results and regulatory reporting
- perform sensitivity analyses to help inform senior management planning, and provide estimates of the impacts of alternative strategic initiatives, specifically related to capital management
Other
- 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 2025 and Spring 2026
- Demonstrated leadership capabilities and the ability to contribute to a team atmosphere
- Demonstrated research and numerical problem-solving skills
