Quantitative Capital Markets Analyst — Rotational Program

Freddie Mac; McLean (VA); On-site; USD 63,000 - 95,000; Full time

Benefits offered by this job

Total rewards package

Annual incentive program

Job summary

Freddie Mac offers a two-year, full-time rotational program designed to build modelers, desk quants and mortgage analytics practitioners across multiple capital markets desks. Analysts rotate through quantitative-focused teams, applying Python, SQL, R, SAS and other tools to real-world mortgage market challenges.

You will gain hands-on experience across desks, including structured credit transactions, data science applications, and market trend analyses, with mentorship and exposure to

Qualifications

• Quantitative skills demonstrated through coursework and internships with Python, R, SQL, SAS and machine learning preferred.
• Bachelor’s degree in Economics, Finance, Engineering, Mathematics or Statistics; strong data science background welcomed.
• Availability to begin full-time in Jan 2027 or Jun 2027 after graduation.

Responsibilities

• Demonstrate big data techniques with Prepayment Modeling to predict borrower behavior.
• Support Credit Risk Transfer analytics for Freddie Mac loan portfolio.
• Model impacts of proposed products, pricing changes, or capital structure adjustments.
• Support pricing decisions using market behavior analyses and assess credit/prepayment risk.
• Use corporate models to analyze credit portfolio/new funding risk and returns.
• Perform quantitative analysis to evaluate credit portfolio and new fundings.

Skills

Quantitative skills

Python

SQL

R

SAS

Machine learning

Education

Bachelor’s degree in Economics/Finance/Engineering/Math/Statistics

Tools

Python

SQL

R

SAS

Job description

Freddie Mac offers a two-year, full-time rotational program designed to build modelers, desk quants and mortgage analytics practitioners across multiple capital markets desks. Analysts rotate through quantitative-focused teams, applying Python, SQL, R, SAS and other tools to real-world mortgage market challenges.

You will gain hands-on experience across desks, including structured credit transactions, data science applications, and market trend analyses, with mentorship and exposure to