Quantitative Analytics Senior; Hybrid - in Office - VA

At Freddie Mac, you will do important work to build a better housing finance system and you'll be part of a team helping to make home ownership and rental housing more accessible and affordable across the nation.

Freddie Mac Multifamily Modeling team needs creative, forward‑thinking individuals. We are seeking a Quantitative Analytics Senior to provide quantitative analytical support to multifamily business. The successful candidate will play a critical role in developing and implementing advanced models that drive our business decision‑making and risk management strategies.

Our team is responsible for developing models and conducting quantitative analysis to support MF business across all business divisions. We are committed to delivering top‑tier solutions through innovative modeling techniques and robust advanced data analysis. We also are responsible for multifamily data analytics, regulatory capital, stress testing, and business initiatives. This role is critical given our focus on safety and soundness in multifamily business and the emerging risk management under the dynamic market environment.

• Demonstrate quantitative abilities in data science and financial/statistical modeling to support various multifamily business areas
• Independently perform data analysis to support credit and market risk model development activities for the multifamily portfolio and securities
• Support model governance activities and independently improve the operational effectiveness in MF analytics to ensure full compliance with regulatory and corporate requirements
• Conduct scenario analysis and stress testing to assess model robustness and reliability
• Prepare technical documents using TeX/LaTeX to support model development and implementation

• College degree or equivalent experience; advanced studies/degree preferred
• Typically 5–7 years related experience
• Experience applying predictive modeling techniques from finance, statistics, mathematics, data science, and computer programming to large data sets (e.g., machine learning, Bayesian methods, Monte Carlo methods)
• Experience writing statistical and/or optimization programs; proficiency in Python, R, SQL, Java, SAS, and MATLAB
• Experience writing technical documentation using TeX/LaTeX
• Knowledge of financial services and mortgage finance preferred
• Expertise in time‑series econometrics is a plus

• Strong verbal and written communication skills
• Strong data analytics skills
• Ability to collaborate with different teams
• Ability to work efficiently under tight timelines with a positive attitude
• Deep curiosity to learn new things
• Strong critical thinking and problem‑solving skills
• Willingness to embrace change

Freddie Mac offers a comprehensive total rewards package, including competitive compensation and market‑leading benefit programs. This position has an annualized market‑based salary range of $125,000–$187,000 and is eligible to participate in the annual incentive program.

We are an equal‑opportunity employer and value diversity and inclusion at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by applicable law. We will ensure that individuals with differing abilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Please contact us to request accommodation.