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. Position Overview: Are you curious, entrepreneurial, and analytical? Do you enjoy solving complex real-world problems with advanced quantitative techniques? Freddie Mac’s Multifamily Modeling team within Multifamily Portfolio and Risk Management is seeking a Quantitative Analytics Manager to develop and manage quantitative models, deliver analytics, and create methodologies that support decision-making and risk management within the $450Bn+ Multifamily business. You will lead projects, coordinate with stakeholders, and work independently to conduct data analysis, model development, prototyping, testing, and cross-team collaboration. Ideal candidates have strong mathematical/statistical modeling expertise and robust programming skills, with experience in time series econometrics or large-scale simulation models (e.g., Monte Carlo simulations, multi-scenario forecasting engines, cash-flow simulators). Our Impact: Drive quantitative research and modeling for multifamily credit risk, economic capital, risk rating, and costing/pricing analytics. Innovate analytics to improve efficiency and strengthen risk management. Ensure compliance with model risk governance and regulatory standards. Your Impact: Design methodologies for credit risk analysis of the Multifamily portfolio and securities. Develop and implement statistical models using common programming languages. Provide analytical support across multifamily business functions. Translate model insights into actionable recommendations for senior stakeholders. Manage projects effectively and communicate progress clearly. Support model governance activities to ensure compliance.
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Job Type
Full-time
Career Level
Manager
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees