Freddie Mac

Quantitative Analytics Tech Lead (house price models)

Freddie Mac$144K — $216K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Advanced degree in a quantitative field (Economics, Mathematics, Statistics, Engineering, Finance); Ph.D. preferred.
  • Doctorate degree plus 3 years of experience (or Master's with 5 years) in statistics or related field.
  • Expertise in house price modeling and mortgage analytics.
  • Proficiency in Python, SAS, R, ML frameworks (Scikit-learn, PyTorch, TensorFlow), SQL, and Spark.
  • Experience in end-to-end model development in highly regulated environments.
  • Strong understanding of the mortgage lifecycle and model governance practices.
  • Excellent written and verbal communication skills.

Responsibilities

  • Lead the development of sophisticated house price forecasting models using advanced statistical and AI/ML techniques.
  • Promote and establish best practices for model development, validation, and performance monitoring across teams.
  • Ensure compliance with rigorous regulatory standards and governance requirements for models.
  • Document and defend models during internal and external reviews for transparency and rigor.
  • Drive the adoption of effective tools, coding standards, and reproducibility protocols in model development.

Benefits

  • Comprehensive total rewards package.
  • Market-leading benefit programs.
Full Job Description
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.

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


Qualifications:
  • 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.


Keys to Success in this Role:
  • Technical Leadership: Ability to lead the development of robust, interpretable models with measurable business impact. Strong communication and programming skills.
  • Innovation Mindset: Commitment to introducing industry-leading practices and accelerating development cycles without compromising quality.


Current Freddie Mac employees please apply through the internal career site.

Time-type:Full time

FLSA Status:Exempt

Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.

This position has an annualized market-based salary range of $144,000 - $216,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.

About Freddie Mac

Freddie Mac is vital to a strong U.S. housing system, providing liquidity to the mortgage market under all economic conditions while ensuring the safety and soundness. As a trusted leader in housing finance, we guide the industry in meeting the needs of lenders and lowering the cost of housing for America's families.
Learn more about Freddie Mac
Size
7,284 employees
Industry
Founded
1970
NASDAQ

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