Multifamily Capital Markets Analytics & Engineering Intern - Summer 2027

Freddie Mac

Hours: Full time
Where: McLean, VA
Posted: 4 days ago

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:

Are you looking for an internship that combines software engineering, modern data platforms, and finance? The Multifamily Division within Freddie Mac is searching for talented, curious, and motivated individuals to support our technology initiatives and strategic business objectives.

This is not your typical IT internship.

What you'd do

Financial Curiosity: A strong desire to learn fixed-income finance concepts and Multifamily Capital Markets products (like K-Deals, PCs, and CRT). Prior finance knowledge is not required, but a willingness to learn is essential!
Willingness to Experiment: Comfort operating in ambiguity and a passion for finding the "right tool for the job" (knowing when to use automated rules, scripting, or data queries).
Hybrid Communication: Ability to collaborate effectively with both business users (traders, underwriters, analysts) and enterprise software engineers.
Analytical Problem-Solving: Self-motivation, initiative, and the ability to learn new tools and technologies independently.
Attention to Detail: A commitment to producing high-quality, auditable code and data pipelines where accuracy is critical.

What they want

Pursuing a Bachelor’s degree in Computer Science, Software Engineering, Data Science, Applied Mathematics, Information Technology, or a related technical/quantitative discipline.
Expected graduation date of May 2028.
Strong foundation in computer science fundamentals, including object-oriented programming, data structures, algorithms, and database design.
Strong Python skills (for data engineering, automation, or APIs) and familiarity with SQL.
Exposure to or interest in using AI tools, digital collaboration platforms, or basic scripting to automate manual workflows.
Familiarity with modern data platforms like Snowflake or cloud services (AWS) is a plus.
Experience contributing to hackathons, personal coding projects, open-source initiatives, or technical class projects is highly valued.
undefined

Starts: 2026-10-01