Quantitative Analytics Professional

Freddie Mac's Multifamily Modeling team within Multifamily Portfolio and Risk Management is seeking a Quantitative Analytics Professional to support the development of quantitative models, analytics, and methodologies that inform decision-making and risk management for the $450+ Multifamily business. The modeling team owns multiple models across credit risk, property valuation, counterparty risk, portfolio surveillance, and market intelligence, and this role will contribute to data analysis, model development, model testing, and communicating results to internal partners., * Drive quantitative research and modeling to support Multifamily decision-making across credit risk, property valuation, counterparty credit risk, portfolio surveillance, market intelligence, and related capital, risk rating, and pricing/costing analytics.

• Improve analytical approaches to enhance efficiency, insight, and risk management outcomes.
• Ensure models and methodologies align with internal governance and external regulatory expectations., * Support the development, enhancement, and ongoing maintenance of models used for credit risk, valuation, counterparty risk, portfolio surveillance, and market intelligence.
• Perform data extraction, cleaning, and exploratory analysis; help identify data quality issues and propose fixes.
• Assist with model implementation, testing, benchmarking, and sensitivity analysis (e.g., stress/scenario testing).
• Help produce recurring monitoring and surveillance analytics, including trend analysis, early warning indicators, and portfolio segmentation.
• Prepare model outputs, summaries, and visualizations for internal partners; contribute to clear write-ups of methods, assumptions, and limitations.
• Contribute to model governance activities including documentation, change logs, controls, validation support, and audit/regulatory responses.
• Collaborate with business and risk partners to translate questions into analytical tasks and deliverables.

• Postgraduate degree in economics, finance, statistics, mathematics, computer science, or a related quantitative discipline, or equivalent combination of education and experience.
• Working knowledge of quantitative methods such as time-series modeling, optimization, geospatial analysis, and/or simulation.
• Proficiency in one or more tools/languages such as Python, R, SQL, SAS (Python/SQL preferred).
• Experience with data preparation and analysis: joins, aggregation, missing data handling, outlier review, and feature creation.
• Familiarity with model evaluation and monitoring concepts (e.g., back-testing, stability/drift, performance metrics).
• Ability to communicate analytical results clearly in writing and in presentations to technical and non-technical audiences.
• Interest in (or exposure to) multifamily real estate, mortgage finance, structured products, or financial risk management is a plus.

Preferred:

• Exposure to property valuation methods (e.g., income approach concepts, cap rates, NOI drivers).
• Experience with portfolio monitoring dashboards or automated reporting.
• Familiarity with stress testing concepts and scenario design.
• Experience working in a model risk management framework (documentation, validation support, controls)., * Strong analytical fundamentals and attention to detail.
• Ability to manage multiple priorities across different model/analytics areas.
• Clear, structured communication and documentation habits.
• Collaborative mindset and comfort working with cross-functional partners.
• Curiosity and willingness to learn new modeling approaches and business domains

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 $105,000 - $157,000 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.