Quantitative Analytics Tech Lead (house price models)

Freddie Mac•McLean, VA

4d•Onsite

About The Position

Freddie Mac’s Single-Family Modeling organization is seeking a Quantitative Analytics Tech Lead to join the Single-Family Model Strategy Team. This role focuses on house price modeling, and is responsible for developing robust and interpretable models for house price forecasting to support business and risk decision-making processes. As Tech Lead, you will provide industry-leading practices for research and model development to accelerate end-to-end development cycles without compromising quality. 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 experience in highly regulated environments.

Requirements

Advanced degree in a quantitative field (Economics, Mathematics, Statistics, Engineering, Finance); Ph.D. preferred.
Doctorate degree plus 3 years of working experience (or Master's degree with equivalent 5 years of working experience) in statistics, data science or a related quantitative field.
Expertise in house price modeling and/or mortgage analytics.
Proficiency in Python, SAS, 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.
Highly self-motivated and adept at synthesizing complex information and managing competing priorities.
Excellent written and verbal communication skills.

Nice To Haves

Ability to lead the development of robust, interpretable models with measurable business impact.
Strong communication and programming skills.
Commitment to introducing industry-leading practices and accelerating development cycles without compromising quality.

Responsibilities

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.
Ensure models meet rigorous regulatory standards and governance requirements.
Lead the documentation and defense of models in internal and external reviews.