Campus – Finance Analytics Intern (Analytics & Modeling Program)

Job description

This 10-week internship program, ( June 7, 2027-August 13, 2027 ), offers a set hourly rate of $41.50 an hour and a potential pathway to full-time opportunities with Fannie Mae . This position has multiple openings and will be based in our Washington, D.C. (Midtown Center) office. WHY STUDENTS CHOOSE FANNIE MAE Gain hands-on experience as a real contributor working on projects and business challenges that help shape the future of housing finance.

Build your career at a company that combines enterprise-scale impact with a mission-driven culture focused on creating opportunities for people and communities nationwide. Work in a technology-enabled environment that encourages curiosity, innovation, and the responsible use of emerging tools, including artificial intelligence. Collaborate with experienced professionals and cross-functional teams solving complex business and technology challenges.

Benefit from professional development opportunities, mentorship, networking events, and exposure to leaders across the company. Develop in-demand skills through meaningful work, training, and real-world experience in a collaborative and supportive environment. Make an impact from day one while helping support one of the most important sectors of the U.S. economy. Access benefits available to program participants, including Fannie Mae’s commuter benefit and 401(k) plan through Fidelity.

THE IMPACT YOU WILL MAKE As an intern on our Finance Business Analytics team, you will develop and apply analytical skills by researching open-ended questions, leveraging our data to produce insights, and providing consultative services to extend Fannie Mae's dynamic credit risk management capabilities. You will participate in seminar style training of both business information and technical skills. The business courses provide exposure to key business areas at the company and the role of analytics in supporting them.

The technical courses include SQL and R, as well as an introduction to working with technology and data platforms, including Redshift, Domino Data Lab, and Git/Bitbucket.

Examples of intern tasks and projects include:

• Identify and develop technical improvements and business process automation in Credit expense forecasting
• Perform business analytics to develop prioritized functional requirements and testing to improve model and financial analytics
• Research production model improvements through back-testing, text analysis, and data mining Leverage AI to perform analysis, construct business process improvements, develop technical enhancements or testing automation.