Analytics and Modeling Intern

Are you a data-driven individual looking for an opportunity to refine your analytics and modeling skills in a business setting? Fannie Mae is looking for an Analytics and Modeling Intern to join our team and contribute to our mission of providing liquidity, stability, and affordability to the U.S. housing market. As an Analytics and Modeling Intern, you will gain valuable experience working with a diverse team of professionals. You will have the opportunity to develop your skills and knowledge in data analytics and modeling while helping Fannie Mae make informed decisions to drive business results.The ideal candidate has a strong quantitative aptitude, excellent problem-solving skills, and the ability to interpret data into actionable insights. We are looking for an individual who is excited to learn and contribute to the success of Fannie Mae.

Responsibilities:

• Analyze and interpret data to provide actionable insights for Fannie Mae • Develop quantitative models and algorithms to assess risk, identify trends, and measure performance • Utilize statistical and programming tools such as Python, R, and SQL to process and analyze data • Collaborate with team members to develop data-driven solutions to business problems • Conduct research to create innovative approaches to data analysis and modeling • Work with the team to ensure accuracy and integrity of data and models • Present findings to key stakeholders in a clear and concise manner

According to JobzMall, the average salary range for a Analytics and Modeling Intern in Washington, DC, USA is $14 to $20 per hour. This range is based on the salaries reported by employers and job postings for the position.

The Federal National Mortgage Association, commonly known as Fannie Mae, is a United States government-sponsored enterprise and, since 1968, a publicly traded company. It engages in the provision of access to affordable mortgage credit and indirectly enables families to buy, refinance or rent homes. It operates through the following segments: Single-Family Credit Guaranty, Multifamily, and Capital Markets.