Role OverviewFreddie Mac's Multifamily Modeling team is seeking a Quantitative Analytics Senior Director to lead the Model Research function, overseeing research and development of quantitative models supporting multifamily loan acquisition, credit risk management, and property valuation.
What You Will Do
Lead a team to perform research and develop improved modeling frameworks and methodologies for quantitative models, develop challenger models to existing credit risk models, and provide technical and theoretical guidance on advanced model development practices and quantitative modeling approaches.
Why It Might Be a Fit
This role requires a strong quantitative and strategic leader with rigorous foundation in statistical modeling background and deep understanding of mortgage and credit risk business, with excellent execution skills and experience in delivering complex projects.
Requirements
- 15+ years of relevant experience in quantitative modeling, mortgage credit risk, commercial real estate analytics, financial risk management, or related fields
- 8+ years of people leadership or team management experience
- Advanced degree (Master’s or Ph.D.) in Economics, Finance, Statistics, Mathematics, or related field preferred
- Strong experience developing or overseeing commercial real estate, mortgage credit risk, default, prepayment, transition, loan acquisition, or portfolio surveillance models
- Strong understanding of multifamily underwriting, commercial real estate fundamentals, mortgage credit behavior, default risk drivers, and portfolio risk management concepts
- Strong quantitative and analytical skills, including experience with econometric modeling, survival analysis, transition modeling, statistical modeling, or large-scale data analysis
- Experience leveraging AI-enabled analytical or model development tools to improve modeling productivity, research workflows, testing, documentation, or analytical insight generation
- Familiarity with modern model development operations, including reproducibility, workflow management, testing automation, implementation collaboration, or scalable analytical infrastructure
- Excellent execution skills with experience in delivering complex projects
- Experience working with regulatory, governance, model validation, and audit stakeholders in a model risk management environment
- Strong programming and analytical tool experience, including Python, R, SQL, SAS, or similar technologies
- Excellent written and verbal communication skills and ability to present complex analytical concepts to technical and non-technical audiences
Benefits
- Comprehensive total rewards package
- Competitive compensation
- Market-leading benefit programs
- Annualized market-based salary range of $243,000 - $365,000
- Eligibility to participate in the annual incentive program
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