Campus – Intern

Job Description

With Fannie Mae’s 10-week (June 2025 - August 2025) paid internship program you will be empowered to drive change, lead with creativity, own your career, and make a difference. As a path to our full-time opportunities, you will be a true contributor on a team that fits your skills and interest in a dynamic environment alongside our employees.    

THE IMPACT YOU WILL MAKE 

As an intern on our Finance 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 
• Researching production model improvements through back-testing, text analysis, and data mining 

Qualifications

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Qualifications   

• Be authorized to work in the U.S. without sponsorship   
• Academic achievement (preferred GPA of 3.2 or above)   

  Preferred Qualifications   

• Rising senior enrolled in a bachelor’s degree program (2026 graduation date) 
• Finance, Economics, Computer Science, Information Systems, Business Analytics, Engineering, Math and Statistics majors are preferred   
• Strong analytical background   
• Demonstrated leadership capabilities and the ability to contribute to a team atmosphere    
• Demonstrated research and problem-solving skills   
• Self-starter, strong business acumen, and results focused   
• Superior communication skills, both oral and written   
• Fluency and aptitude with technology applications