Campus Finance Analytics Intern: AI-Driven Insights

Fannie Mae; Washington (District of Columbia); On-site; USD 47,000 - 66,000; Full time

Benefits offered by this job

Commuter benefit

401(k) plan

Professional development

Mentorship programs

Networking events

Well-being benefits

Job summary

Fannie Mae in Washington, DC is offering a 10-week Finance Business Analytics internship (June 7, 2027 - August 13, 2027) with a set hourly rate of $41.50 and a potential path to full-time opportunities. The role focuses on using data to deliver insights for credit risk management and involves training across business information and technical skills.

The program emphasizes hands-on experience, collaboration across cross-functional teams, and exposure to AI tools in a technology-enabled

Qualifications

• Authorized to work in the U.S. without sponsorship.
• Academic achievement; GPA 3.2 or higher preferred.
• Curiosity and ability to responsibly apply new technologies including AI.

Responsibilities

• Identify and develop technical improvements and automation in Credit expense forecasting.
• Perform business analytics to define requirements and testing for model/financial analytics.
• Research production model improvements via back-testing, text analysis, and data mining.
• Leverage AI to drive analysis, efficiency gains, or testing automation.

Skills

Analytical mindset

Leadership potential

Strong communication

Curiosity/adaptability

Problem solving

Business acumen

Self-starter

Team collaboration

Education

Bachelor’s or Master’s degree (Spring 2028)

Finance/Economics/CS/IS/Analytics/Engineering/Math majors preferred

Tools

SQL

R

Redshift

Domino Data Lab

Git/Bitbucket

Job description

Fannie Mae in Washington, DC is offering a 10-week Finance Business Analytics internship (June 7, 2027 - August 13, 2027) with a set hourly rate of $41.50 and a potential path to full-time opportunities. The role focuses on using data to deliver insights for credit risk management and involves training across business information and technical skills.

The program emphasizes hands-on experience, collaboration across cross-functional teams, and exposure to AI tools in a technology-enabled