Campus - Analytics and Modeling Program Associate

About the Role

Key Responsibilities

• Participate in a 10-week seminar-style training program covering mortgage industry knowledge and technical analytics skills such as Statistics, SQL, R, and Python.
• Gain a strong understanding of Fannie Mae's business through hands-on experience and interaction with analytics teams during training.
• Work with analytics teams to develop and implement predictive modeling, data visualization, and analytics infrastructure solutions.
• Assist in building and applying models of loan performance, property valuation, and home price forecasting for financial and regulatory reporting.
• Provide insights through AI/ML, econometric modeling, and web-based self-service solutions to support decision-making.
• Contribute to targeted analytics and predictive modeling efforts to help business partners make informed decisions.

Requirements

• Authorization to work in the U.S. without sponsorship.
• Bachelor's or master's degree obtained between December 2025 and Spring 2026.
• Academic achievement with a preferred GPA of 3.3 or higher.
• Strong analytical background with research and numerical problem-solving skills.
• Demonstrated leadership capabilities and ability to contribute to a team.
• Self-starter with strong business acumen and results focus.
• Superior communication skills, both oral and written.
• Fluency and aptitude with technology applications.
• Majors in Data Science, Computer Science, Math, Finance, Statistics, or Economics with a quantitative focus are preferred.

Nice to Have

• Experience or coursework in data science, computer science, finance, or economics.
• Demonstrated research and numerical problem-solving skills.
• Leadership experience and team contribution skills.

Qualifications

• Bachelor's or master's degree obtained between December 2025 and Spring 2026.
• Preferred GPA of 3.3 or higher.

Benefits & Perks

• Annual gross base salary of $110,000.
• Participation in a comprehensive training program and professional development.
• Mentorship, executive speaker series, and hands-on learning opportunities.
• Potential participation in incentive programs.
• Broad range of health, life, voluntary lifestyle, and other benefits.