Analytics & Modeling Program Associate – Early Career

Fannie Mae; Washington (District of Columbia); On-site; USD 105,000 - 125,000; Full time

Job summary

Fannie Mae in Washington, DC is seeking an Analytics and Modeling Associate within the Enterprise Analytics program. It begins with a 10-week training on mortgage industry knowledge and quantitative analytics using SQL, R, and Python.

After training, you join an analytics-focused team to tackle business challenges with data-driven methods. You will apply advanced analytics, build self-service tools, and craft narratives to support risk reporting and decision making, with mentorship and growth

Qualifications

• Bachelor's or Master's degree in a quantitative field, awarded between Dec 2026 and Spring 2027.
• Authorization to work in the U.S. without sponsorship.
• GPA 3.3 or higher preferred.
• Experience with R, Python, and SQL.
• Strong analytical background and leadership capabilities.
• Excellent written and verbal communication.
• Self-starter with business acumen and adaptability.

Responsibilities

• Apply advanced analytics, machine learning, and econometric techniques to solve business problems.
• Create self-service analytics tools for accessible insights.
• Craft analytical narratives with data visualization.
• Build models forecasting loan performance, property values, and market factors.
• Conduct sensitivity and scenario analyses for financial and regulatory impact.

Skills

Analytical thinking

Leadership

Strong communication

Self-starter

Adaptability to new technologies

Education

Bachelor's or Master's degree

Tools

R

Python

SQL

Job description

Fannie Mae in Washington, DC is seeking an Analytics and Modeling Associate within the Enterprise Analytics program. It begins with a 10-week training on mortgage industry knowledge and quantitative analytics using SQL, R, and Python.

After training, you join an analytics-focused team to tackle business challenges with data-driven methods. You will apply advanced analytics, build self-service tools, and craft narratives to support risk reporting and decision making, with mentorship and growth