Quantitative Analytics Director (house price modeling)
About The Position
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: Freddie Mac’s Single-Family Modeling organization is seeking a Director of Quantitative Analytics to lead its house price modeling initiatives. This strategic leadership role is critical to advancing Freddie Mac’s mission of Making Home Possible by developing robust and interpretable models for house price forecasting. As Director, you will provide industry-leading practices for research and model development to accelerate end-to-end development cycles without compromising quality. The ideal candidate will foster collaboration across the enterprise to unlock synergies and work cross-functionally to establish effective frameworks for execution. You will champion innovation, ensure regulatory compliance, and foster best practices in research, development, and deployment of models that underpin key business decisions. The ideal candidate will be an expert in quantitative analytics and house price modeling, with proven leadership in highly regulated environments. Apply now and learn why there’s #MoreAtFreddieMac! Our Impact: Freddie Mac is leading the U.S housing market forward by making homeownership and rental housing more accessible and affordable. Our team develops robust, scalable models that support the Single-Family business by enabling critical, data-driven risk decisions. Your Impact: Strategic Leadership: Shape the vision and execution of house price modeling strategies, ensuring alignment with business objectives, regulatory requirements, and enterprise risk management frameworks.
Requirements
- 12+ years of relevant experience, including 4+ years in a leadership role.
- Advanced degree in a quantitative field (Economics, Mathematics, Statistics, Engineering, Finance); Ph.D. preferred.
- Deep expertise in house price modeling and forecasting and/or mortgage analytics.
- Proficiency in Python, R, ML frameworks (Scikit-learn, PyTorch, TensorFlow), SQL, and Spark.
- Demonstrated experience in end-to-end model development within financial services or other highly regulated environments.
- Strong understanding of the mortgage lifecycle, regulatory frameworks, and model governance practices.
- Proven ability to influence cross-functionally and drive organization-wide change.
- Highly self-motivated and adept at synthesizing complex information and managing competing priorities.
- Excellent written and verbal communication skills, with the ability to present to senior executives.
Responsibilities
- Shape the vision and execution of house price modeling strategies, ensuring alignment with business objectives, regulatory requirements, and enterprise risk management frameworks.
- Lead the development of sophisticated models using statistical, econometric, and AI/ML techniques. Apply industry-leading algorithms and methodologies to improve accuracy, interpretability, and scalability of house price forecasting models.
- Establish and promote best practices for model development, validation, and performance monitoring. Drive adoption of effective tools, coding standards, and reproducibility protocols across teams.
- Work closely with stakeholders across divisions to define, develop, and evaluate new modeling solutions. Communicate complex concepts clearly to senior executives and influence strategic direction.
- Ensure models meet rigorous regulatory standards and governance requirements. Lead the documentation and defense of models in internal and external reviews.
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What This Job Offers
Job Type
Full-time
Career Level
Director
Education Level
Ph.D. or professional degree
Number of Employees
1,001-5,000 employees
