Fannie Mae is looking to leverage analytics to enhance its credit risk management capabilities and facilitate equitable access to homeownership.
Requirements
- SQL
- Python
- R
- Redshift
- Domino Data Lab
- Git/Bitbucket
- Mathematics, Statistics, Computer Science, Systems Engineering, Economics with a quantitative focus, and Data Science majors are preferred
Responsibilities
- Develop and apply analytical skills by researching open-ended questions
- Leveraging our data to produce insights
- Providing consultative services to extend Fannie Mae's dynamic credit risk management capabilities
- Participate in a one-week training program covering both business information and technical skills
- Work on one project for the remainder of the program, culminating in a presentation to the division
- Participate in hackathons in areas such as Geospatial Analysis and GenAI
- Gain broader exposure to the Data Science world
Other
- Authorization to work in the U.S. without sponsorship
- Academic achievement (preferred GPA of 3.2 or higher)
- Currently pursuing a Bachelor's or Master's degree with an expected graduation date of Spring 2027
- Open and honest communicator with demonstrated leadership capabilities
- Quantitatively-minded with an aptitude for analytical storytelling
