Quantitative Analytics Tech Lead, Economic Modeling

Freddie Mac

Mclean, VA

Full Time

Senior

143k-215k

2 days ago

Job Description

About the Role

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. The Single-Family Division is seeking a Quantitative Analytics Technical Lead responsible for developing and executing statistical models and applications to support business and risk decisions within the Credit Model Insights & Innovation Team. The team focuses on developing credit risk models, applying econometric, machine learning, and statistical modeling techniques to understand business problems and produce credit risk forecasts for the mortgage portfolio.

Key Responsibilities

Developing analytical methods and models that assess the credit risk of new and existing financial and mortgage products.
Providing innovative, detailed and practical solutions to an extensive range of fast paced and complicated problems.
Developing and validating loss forecasting models, conducting research on improvements to existing models, and applying industry standard methodologies and techniques to meet various business needs.
Coordinating the testing through model implementation, conducting back tests to monitor model performance, and performing economic tests and stress tests to validate forecast results.
Providing modeling and analytical support to a line of business or product area, functioning as a day-to-day technical specialist.
Preparing documentation for technical analytics and rationale through the model development process to ensure compliance with model oversight and support model review for approval.
Working under limited direction, independently determining and developing approaches to solutions.

Requirements

PhD in Economics, Statistics, Math, Computer Science or a related quantitative field with at least 3 years of post-graduate work experience; or a Master degree with at least 5 years of related experience.
At least three years of experience in model development including logistic regression.
Strong programming skills in Python, SQL, SAS, and Unix.
Experience with programming languages such as R, VBA, Java or C++.
Experience working with large data sets and relational databases.
Experience working with mortgage or consumer credit risk models, prepayment models, and severity models.
Experience with competing-risk hazard models, transition models, loss forecasting, and stress testing.
Experience in data science, machine learning, and related technologies.

Nice to Have

Experience with econometric models, tools, and techniques.
Outstanding quantitative, empirical analysis, and research skills.
Solid understanding of econometric models, tools, and techniques.
Strong programming skills.

Qualifications

Educational background as specified in the requirements (PhD or Master in relevant fields).

Benefits & Perks

Competitive compensation and market-leading benefit programs.
Participation in an annual incentive program.
Salary range of $143,000 - $215,000 depending on experience and qualifications.

Working at Freddie Mac

Freddie Mac values a safe and secure environment, employee commitment to policies and best practices, and a vigilance-first approach to work. The organization emphasizes regulatory compliance, privacy, security, and providing reasonable accommodations to support diversity and inclusion.

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