PhD in Statistics, Economics, or related quantitative field with 3+ years of post-graduate experience; or Master's degree with 5+ years in quantitative analytics or modeling.
Proficient in programming languages such as Python, SAS, R, or Matlab; Python preferred.
Strong leadership, planning, and communication skills.
Ability to collaborate effectively across diverse teams of modeling, analytics, and risk professionals.
Experience in statistical model development and implementation preferred.
Prior experience in Multifamily or Commercial Real Estate is a plus.
Responsibilities
Serve as model business owner for Multifamily credit risk and valuation models, defining business requirements with stakeholders.
Develop testing strategies and lead user acceptance testing for model enhancements.
Analyze Multifamily data and model outputs, creating dashboards and visualizations for portfolio monitoring.
Design and enhance model processes, developing automated workflows for model execution.
Support issue management and governance activities to ensure compliance with Model Risk Standards.
Provide analytical support and insights to Multifamily leadership for risk management and decision-making.
Benefits
Comprehensive total rewards package including competitive compensation.
Market-leading benefit programs available on the Careers site.
Full Job Description
Position Overview:
Are you curious and analytical, and do you enjoy shaping how models are used in the business while translating model outputs into insights that inform decision-making? Freddie Mac's Multifamily Portfolio Intelligence and Engineering team - Credit Model Analytics function is seeking a Quantitative Analytics Lead to join the team.
This role will work closely with the Multifamily model development team and business stakeholders on Multifamily credit risk and valuation models, representing business users throughout the model lifecycle. In addition, this position will leverage models and data to support recurring business processes and deliver analytics to Multifamily leadership that help shape business decisions and risk management strategies.
Your Impact:
Serve as model business owner of Multifamily credit risk and valuation models, partnering effectively with model developers and business stakeholders to define business requirements and ensure models are fit for purpose for a range of business uses.
Develop testing strategies and lead user acceptance testing for model enhancements and changes to demonstrate that models are appropriate for measuring the risks of the Multifamily portfolio and new acquisitions.
Analyze Multifamily data and model outputs and develop dashboards, visualizations, and analytics that support portfolio monitoring, new acquisition assessment, and ongoing model performance evaluation.
Design and enhance model processes, and develop automated and efficient end-to-end workflows to support recurring model execution and business uses.
Fulfill model business owner responsibilities, including supporting issue management and governance activities to ensure compliance with Model Risk Standards.
Provide analytical support and model-driven insights to Multifamily leadership to inform risk management and business decision-making.
Qualifications:
PhD in Statistics, Economics, or a related quantitative field with at least 3 years of relevant post-graduate work experience; or Master's degree in a quantitative field + 5 years of relevant experience in quantitative analytics or modeling.
Strong programming skills with proficiency in at least one of the following: Python, SAS, R, or Matlab; Python preferred.
Strong leadership, planning, and communication skills.
Ability to work effectively across teams and collaborate with diverse groups of modeling, analytics, and risk professionals.
Experience with statistical model development and implementation preferred.
Prior experience in Multifamily or Commercial Real Estate is a plus.
Keys to Success in this Role:
Intellectual curiosity and the ability to translate business questions into insightful analytics and actionable recommendations using models and data.
Strong technical skills in data processing, analytics, and programming.
High attention to detail and commitment to analytical rigor.
Strong sense of ownership, self-motivation, and accountability for delivering high-quality work.
Ability to collaborate closely with cross-functional teams and remain open to new ideas and constructive challenges.
Clear and effective communication skills, including verbal, presentation, and written communication with peers and leadership.
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.
