Fannie Mae is looking to expand its dynamic credit risk management capabilities by leveraging data to produce insights and solve open-ended questions.
Requirements
- SQL
- Python
- R
- Redshift
- Domino Data Lab
- Git/Bitbucket
- Geospatial Analysis
- GenAI
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
- The technical courses include SQL, Python, and R, as well as an introduction to working with technology and data platforms, including Redshift, Domino Data Lab, and Git/Bitbucket
- 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
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
- Fluent with technology applications and excited to learn new technologies
- Demonstrated problem-solving with a solutions-oriented approach
- A self-starter who’s comfortable asking questions and persevering through unforeseen challenges
