Quantitative Analytics Director (AI/ML solutions)
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 Quantitative Analytics Director to lead the development and implementation of advanced AI/ML solutions that inform business-critical decision making. The ideal candidate will introduce industry-leading practices for research and model development, and provide quantitative solutions to complex business problems. 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: Technical & Thought Leadership: Provide hands-on solutions to emerging business and modeling problems. Thoroughly review code, generate business-relevant insights, and enforce governance standards to ensure consistency and quality across projects. Guide and mentor junior analysts to complete projects and deliver results. Innovation & Expertise: Lead the development of sophisticated models using statistical, econometric, and AI/ML techniques. Stay current on advancements in quantitative methods and technologies - including GenAI and other AI/ML methods - and their applications in financial services. Best Practice Enablement: Establish mechanisms to foster a culture of excellence. Drive adoption of effective tools and practices for model design, implementation, and performance monitoring. Drive adoption of effective tools, coding standards, and reproducibility protocols across teams. Cross-Functional Collaboration: 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.
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 AI/ML model development, credit modeling, and/or mortgage analytics.
- Experience implementing business requirements into model behavior, diagnosing model performance issues, and creating advanced auxiliary solutions such as model explainability and uncertainty measurement.
- Proficiency in Python, 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
- Provide hands-on solutions to emerging business and modeling problems.
- Thoroughly review code, generate business-relevant insights, and enforce governance standards to ensure consistency and quality across projects.
- Guide and mentor junior analysts to complete projects and deliver results.
- Lead the development of sophisticated models using statistical, econometric, and AI/ML techniques.
- Stay current on advancements in quantitative methods and technologies - including GenAI and other AI/ML methods - and their applications in financial services.
- Establish mechanisms to foster a culture of excellence.
- Drive adoption of effective tools and practices for model design, implementation, 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.
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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
