Fannie Mae (Federal National Mortgage Association)
Summary
Fannie Mae is a government-sponsored enterprise (GSE) and the sister organization to Freddie Mac, chartered to provide liquidity and stability to the U.S. housing market. Fannie Mae purchases mortgages from lenders, packages them into mortgage-backed securities (MBS), and enables lenders to make more home loans. Under conservatorship of FHFA since 2008, Fannie Mae employs approximately 8,500 people in Washington, D.C. and operates large-scale data analytics, ML, and risk modeling operations.
Locations (DMV)
- Headquarters: Washington, D.C.
- Key Offices: D.C. headquarters, Reston VA (technology center)
Industry & Sector
- Primary Sector: Finance / Government-Sponsored Enterprise
- Sub-Sectors: Mortgage Finance, MBS, Credit Risk, Analytics, Housing Economics
Products & Services
Mortgage purchase and securitization, mortgage-backed securities issuance, credit risk transfer, multifamily finance, single-family finance, Desktop Underwriter (automated underwriting), housing data and research
Hiring Insights
- Roles: Data Engineers, Data Scientists, Quantitative Analysts, Software Engineers, ML Engineers, Risk Modelers, Economists
- Stack: AWS, Azure, Python, R, SAS, SQL, Snowflake, Spark, Tableau
- Clearance: No clearance required (GSE, not contractor)
Contracting & Government Work
Not applicable - GSE under FHFA conservatorship
Competitors in DMV
- Freddie Mac (sister GSE, primary competitor)
- Ginnie Mae (government agency)
- Private mortgage insurers
Opportunities for Me
Nearly identical to Freddie Mac - mortgage analytics, credit risk modeling, ML for underwriting, cloud modernization. Mission-driven (housing affordability). Strong data engineering and analytics needs. No clearance barrier. Similar compensation to Freddie Mac.
Target Roles: Data Engineer, Senior Data Engineer, Data Scientist, ML Engineer, Quantitative Analyst
Useful Links
- Careers: https://www.fanniemae.com/careers
Tags: company dmv finance mortgage gse analytics washington-dc