Quantitative Analytics Tech Lead (house price models)

At Freddie Mac our mission of Making Home Possible is what motivates us and its 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 Macs Single-Family Modeling organization is seeking a Quantitative Analytics Tech Lead to join the Single-Family Model Strategy Team. This role focuses on house price modeling and is responsible for developing robust and interpretable models for house price forecasting to support business and risk decision-making processes.

As Tech Lead you will provide industry-leading practices for research and model development to accelerate end-to-end development cycles without compromising quality. 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 experience in highly regulated environments.

Our Impact:

Freddie Mac is leading the U.S housing market forward by making homeownership and rental housing moreaccessible and team develops robust scalable models that support the Single-Family business by enabling critical data-driven risk decisions.

Your Impact:

• 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.

• 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:

• Advanced degree in a quantitative field (Economics Mathematics Statistics Engineering Finance); Ph.D. preferred.

• Doctorate degree plus 3 years of working experience (or Masters degree with equivalent 5 years of working experience) in statistics data science or a related quantitative field.

• Expertise in house price modeling and/or mortgage analytics.

• Proficiency in Python SAS 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.

• Highly self-motivated and adept at synthesizing complex information and managing competing priorities.

• Excellent written and verbal communication skills.

Keys to Success in this Role:

• Technical Leadership:Ability to lead the development of robust interpretable models with measurable business impact. Strong communication and programming skills.

• Innovation Mindset:Commitment to introducing industry-leading practices and accelerating development cycles without compromising quality.

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 Macs 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.

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