Capital Markets Analyst - Quantitative

Freddie Mac•McLean, VA

12d•$63,000 - $95,000•Onsite

About The Position

This is a two-year, full-time rotational program crafted to provide analysts with a broad spectrum of quantitative and technical experience working across multiple capital markets desks. The primary objective of this program is to develop modelers, desk quants and mortgage analytic practitioners through real-world training experiences spanning the entire mortgage capital markets life cycle. Analysts will accelerate their professional growth by working alongside best-in-class professionals in quant-focused rotations while also learning about and developing skills on fixed income trading desks. The Quantitative Track of the Portfolio Management & Capital Markets Analyst Program is seeking candidates with quantitative skills (i.e., mathematics/statistics/engineering/computer science, some level of programming skills, and other related STEM skills), with interest in fixed income and finance, having experience as a plus. Quantitative Track Analysts will rotate among quantitative-focused capital markets and credit portfolio teams and develop experience working with large data sets, performing complex quantitative analysis, and building programs using coding languages including, but not limited to, Python, SQL, R, SAS, and. Some of the rotations offered include: Demonstrating big data techniques with Prepayment Modeling to predict borrower behavior. Supporting Credit Risk Transfer desk in analytics related to Freddie Mac portfolio of loans. Modeling impacts of proposed products, pricing adjustments, or changes to our capital structure. Supporting the innovative business pricing decisions based on market behaviors and analyzing, mitigating, and clearly defining credit and prepayment risk. Using corporate models to analyze key credit portfolio/new funding risk and return tradeoffs. Working on quantitative analysis to understand performance of credit portfolio and new fundings. Freddie Mac is responsible for handling the ~$3.4 trillion mortgage guarantee and investment portfolios through secondary mortgage market activities such as asset-liability management, loan purchases, servicing transactions, securitization, debt issuance and credit risk transfer. You'll be part of a team that is intellectually curious, creative, analytical, and passionate about markets, managing risk and adding value to the overall firm. We provide the cash flow, financing, trading and capital market expertise that allows the company to achieve its stated mission of providing liquidity to the house market and making home possible. In this position, you will develop analytical tools and models while applying statistical techniques to large data sets to enhance decision making. You will gain diverse perspectives working across desks; on one desk you may support and complete a structured credit transaction, while on another, you may apply data science techniques to identify MBS market trends. You’ll work on a variety of assignments, each presenting challenges and scope, and you are expected to ask questions, take initiative, and produce quality work that contributes to our team’s success. Throughout your rotations, you will pick up real-world experience, enabling you to bring different, educated viewpoints to desks that embrace your knowledge and expertise. We guarantee a comprehensive rotation experience with both quant and market facing desks. Through these rotations, analysts will build the following proficiencies and opportunities: Fixed income valuation and financial transaction analysis. Expertise in the U.S. Economy. Knowledge of primary and secondary mortgage financial systems. Advanced quantitative abilities (e.g., Advanced Excel, SQL, SAS, Python, R). Professional networking skills and opportunities within the company and industry. Mentorships to help guide your career. Social community of analysts.

Requirements

Quantitative skills (i.e., mathematics/statistics/engineering/computer science, some level of programming skills, and other related STEM skills)
Interest in fixed income and finance
Experience with Python, R, SQL, SAS, and/or machine learning packages is preferred.
Bachelor’s degree, preferably but not only in Economics, Finance, Business, Engineering, Mathematics, or Statistics.
Also preferred quantitative knowledge and experience in computer and data science, physics, and econometrics.
Availability to begin full-time employment in January 2027 or June 2027, following Fall 2026 or Spring 2027 graduation, respectively.
Ability to demonstrate adaptability and teachability to learn quickly and pick up new skills/concepts
Exceptional communication skills, both written and verbal
Strong problem-solving ability
Microsoft Office skills required
Basic coding skills required
Must be a great teammate and able to work collaboratively
Comfortable working in a fast-paced trading floor environment
Attention to detail, exercise sound judgment and can handle sensitive information with discretion
Remain aware of industry-related news and analyze the implications of news/industry developments
Apply a learning mindset and take ownership for your development.
Exposure to AI tools, bots, agents, prompt engineering, or automation technologies.

Nice To Haves

Experience as a plus.
Additional quantitative skills preferred

Responsibilities

Develop analytical tools and models while applying statistical techniques to large data sets to enhance decision making.
Support and complete structured credit transactions.
Apply data science techniques to identify MBS market trends.
Work on a variety of assignments, each presenting challenges and scope.
Ask questions, take initiative, and produce quality work that contributes to the team’s success.
Bring different, educated viewpoints to desks that embrace your knowledge and expertise.
Demonstrate big data techniques with Prepayment Modeling to predict borrower behavior.
Support the Credit Risk Transfer desk in analytics related to Freddie Mac portfolio of loans.
Model impacts of proposed products, pricing adjustments, or changes to our capital structure.
Support innovative business pricing decisions based on market behaviors and analyzing, mitigating, and clearly defining credit and prepayment risk.
Use corporate models to analyze key credit portfolio/new funding risk and return tradeoffs.
Work on quantitative analysis to understand performance of credit portfolio and new fundings.