Quantitative Analytics Professional

Responsibilities

• AI Enablement: Partner with modeling teams and stakeholders to identify and enable AI capabilities aligned with business objectives, regulatory requirements, and enterprise risk management frameworks.
• Best Practice Adoption: Contribute to the adoption of effective tools and practices for model development, version control, and reproducibility. Support efforts to improve consistency, transparency, and quality across teams.
• Technical Application: Stay current on emerging AI technologies and apply established methods and tools to support the modernization of end-to-end model pipelines and analytics on large-scale datasets.

Requirements

• Advanced degree in a STEM field (e.g., Mathematics, Statistics, Computer Science, Engineering); Ph.D. preferred
• Proficiency in Python, SQL, and Spark
• Proficiency in ML frameworks (e.g., Scikit-learn, PyTorch, TensorFlow)
• Familiarity with LLMs and GenAI applications, including prompt design, evaluation, and agentic workflows
• Experience with end-to-end model development workflows (experience in financial services or other regulated environments is a plus)
• Strong problem-solving skills, with the ability to manage multiple priorities in a fast-paced environment
• Excellent written and verbal communication skills, with the ability to convey technical concepts to diverse audiences
• Keys to Success in this Role:
• Technical Contribution: Ability to support the development and implementation of practical GenAI use cases, contributing to solutions with measurable business value
• Innovation Mindset: Self-motivated, with a strong interest in learning and applying emerging tools and practices to improve end-to-end model development workflows
• Cross-Functional Collaboration: Ability to work effectively across teams, build strong working relationships, and contribute to team discussions and decision-making
• Current Freddie Mac employees please apply through the internal career site.
• 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.
• Time-type:Full time
• FLSA Status:Non-Exempt
• Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-lea

Additional Information

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 team is seeking a Quantitative Analytics Professional to support our growing AI enablement efforts. This role contributes to our technology modernization roadmap, with a focus on advancing the adoption of GenAI capabilities across the organization. The individual will partner closely with modeling teams and cross-functional stakeholders to identify, evaluate, and scale practical GenAI use cases, improving efficiency while maintaining strong governance. The individual will also support advanced research initiatives as needed, contributing to experimentation, prototyping, and model development. 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.

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