Risk Management Graduate Intern – Quantitative Summer 2027

Freddie Mac

Hours: Full time
Where: McLean, VA
Posted: Sep 2

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.

We are accepting applications for this position until 10/16/2026

Position Overview:

At Freddie Mac, you will have meaningful work to help build a better housing finance system and support homeownership and rental housing opportunities across the nation.

What you'd do

Execute quantitative and analytical projects while ensuring timely delivery, adherence to objectives, and effective management of project scope.
Develop, evaluate, and utilize quantitative models and analytical tools to support assessment of market, credit, operational, and emerging risks.
Collaborate with risk, business, and technology teams to solve complex problems and drive data-driven decision-making.
Support model development, validation, monitoring, and evaluation activities across various risk disciplines.
Apply programming, data analysis, and automation techniques to improve efficiency and enhance quantitative processes.
Analyze large and complex datasets to identify trends, assess risk exposure, and support strategic initiatives.
Partner with stakeholders across the organization and serve as a point of contact for project-related activities and information gathering.
Contribute to initiatives involving AI, automation, cloud technologies, and advanced analytics.
Support process improvement efforts, documentation, reporting, and governance activities.
Gain exposure to Freddie Mac's standards, processes, risk frameworks, and governance structures.

What they want

Enrolled in a full-time graduate degree program in Data Analytics, Computer Science, Applied Mathematics, Statistics, Financial Engineering, Econometrics, Quantitative Finance, Artificial Intelligence, Machine Learning, Economics, or a related quantitative field.
One to three years of professional work experience.
Expected graduation date of December 2027 or May 2028.

Starts: 2026-08-24