Quantitative Analytics Tech Lead

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:

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.

Our Impact:

Our team serves as the business owner of Multifamily credit risk and valuation models. We act as the primary liaison between business stakeholders and model development teams, driving model requirements, prioritization, testing, issue resolution, and ongoing model effectiveness monitoring. We deliver actionable credit modeling insights that inform business and risk decisions and support model execution and ongoing business uses.

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.

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 $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.