Quantitative Analytics Director (house price modeling)

Freddie Mac•McLean, VA

7h•$214,000 - $322,000

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 Director of Quantitative Analytics to lead its house price modeling initiatives. This strategic leadership role is critical to advancing Freddie Mac’s mission of Making Home Possible by developing robust and interpretable models for house price forecasting. As Director, you will provide industry-leading practices for research and model development to accelerate end-to-end development cycles without compromising quality. The ideal candidate will foster collaboration across the enterprise to unlock synergies and work cross-functionally to establish effective frameworks for execution. 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 leadership in highly regulated environments. Apply now and learn why there’s #MoreAtFreddieMac! 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: Strategic Leadership: Shape the vision and execution of house price modeling strategies, ensuring alignment with business objectives, regulatory requirements, and enterprise risk management frameworks. 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. 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. 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: 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 house price modeling and forecasting and/or mortgage analytics. Proficiency in Python, 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. 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. Keys to Success in this Role: Strategic Vision: Ability to define and execute modeling strategies that balance innovation with regulatory rigor. Technical Leadership: Ability to lead the development of robust, interpretable models with measurable business impact. Innovation Mindset: Commitment to introducing industry-leading practices and accelerating development cycles without compromising quality. Cross-Functional Influence: Proven ability to collaborate across divisions and influence decision-making. Current Freddie Mac employees please apply through the internal career site. We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. A safe and secure environment is critical to Freddie Mac’s business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs. CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC. 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 $214,000 - $322,000 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.

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 house price modeling and forecasting and/or mortgage analytics.
Proficiency in Python, 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.
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

Shape the vision and execution of house price modeling strategies, ensuring alignment with business objectives, regulatory requirements, and enterprise risk management frameworks.
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.
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.
Ensure models meet rigorous regulatory standards and governance requirements.
Lead the documentation and defense of models in internal and external reviews.

Benefits

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 $214,000 - $322,000 and is eligible to participate in the annual incentive program.

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