Freddie Mac

Housing

QuantitativeAnalyticsTechLead

$144–216k McLean, Virginia, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Lead candidates.

The Brief

“Quantitative Analytics Tech Lead at Freddie Mac. Skills: Quantitative analytics, House price modeling, Model development, Statistical techniques, AI/ML techniques. Developing robust and interpretable models for house price forecasting. Providing industry-leading practices for research and model development”

What You'll Achieve.

Develop robust and interpretable models for house price forecasting to support business and risk decision-making processes; Accelerate end-to-end development cycles without compromising quality; Improve accuracy, interpretability, and scalability of house price forecasting models; Ensure models meet rigorous regulatory standards and governance requirements; Lead the development of robust, interpretable models with measurable business impact

Industry & Context.

Housing
Problems you'll solve

Synthesizing complex information

What They're Looking For.

Must Have

Advanced degree in a quantitative field (Economics, Mathematics, Statistics, Engineering, Finance), 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, 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 Have

Ph. D. preferred

What You'll Do.

Developing robust and interpretable models for house price forecasting

Providing industry-leading practices for research and model development

Accelerating end-to-end development cycles

Championing innovation

Ensuring regulatory compliance

Fostering best practices in research

and deployment of models

Lead the development of sophisticated models using statistical

Apply industry-leading algorithms and methodologies to improve accuracy

and scalability of house price forecasting models

Establish and promote best practices for model development

and performance monitoring

Drive adoption of effective tools

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

How You'll Work.

Team & Collaboration

Foster best practices in research, development, and deployment of models; Drive adoption of effective tools, coding standards, and reproducibility protocols across teams

Communication Scope

Excellent written and verbal communication skills

Process & Methodology

Managing competing priorities

Full Job Description

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 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. ## 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: * **Quantitative & Technical Expertise:** 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. * **Best Practice Enablement:** Establish and promote best practices for model development, validation, and performance monitoring. Drive adoption of effective tools, coding standards, and reproducibility protocols across teams. * **Regulatory & Governance Excellence:** Ensure mode

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