Quantitative Analytics Senior Tech Lead - Multifamily Model Research

Freddie Mac•McLean, VA

1d•$159,000 - $239,000

About The Position

Freddie Mac’s Multifamily Modeling team within Multifamily Portfolio and Risk Management seeks a Quantitative Analytics Senior Tech Lead to develop and manage quantitative models, deliver analytics, and create methodologies supporting decision-making and risk management for its multifamily business. The role leads projects, coordinates with stakeholders, and independently conducts data analysis, model development, prototyping, testing, and cross-team collaboration. The position focuses on quantitative research and modeling for multifamily credit risk, economic capital, risk rating, and costing and pricing analytics. It also supports analytics across multifamily business functions, translates model insights into recommendations for senior stakeholders, and contributes to model governance and regulatory compliance. The role calls for expertise in advanced quantitative modeling and programming, including time-series econometrics or large-scale simulation models such as Monte Carlo simulations, multi-scenario forecasting engines, and cash-flow simulators.

Requirements

At least 10 years of relevant experience in quantitative modeling, mortgage credit risk, commercial real estate analytics, financial risk management, or related fields.
Expertise in predictive modeling, econometrics, optimization, machine learning, and Monte Carlo simulations.
Proficiency in programming languages such as Python, R, C++, SQL, or SAS.
Proficiency in designing stochastic processes, modeling risk drivers, and validating simulation outputs.
Experience in financial modeling, model validation, and analytics.
Ability to translate business requirements into modeling and analytics solutions.
Strong project management skills and ability to work independently.
Strong coding and analytical/statistical skills.
Ability to justify modeling choices and present results effectively.
Ownership of work, a can-do attitude, collaborative mindset, and ability to work efficiently under pressure.
Innovative problem-solving and research skills, with attention to detail and a strategic perspective.

Nice To Haves

Advanced degree (Master’s or Ph.D.) in Economics, Finance, Statistics, Mathematics, or a related field.
Knowledge of financial services and mortgage finance.
Experience in time-series econometrics or large-scale simulation models, such as Monte Carlo simulations, multi-scenario forecasting engines, or cash-flow simulators.

Responsibilities

Develop and enhance modeling approaches for multifamily credit models.
Develop and implement statistical models using common programming languages.
Conduct data analysis, model development, prototyping, and testing.
Provide analytical support across multifamily business functions.
Translate model insights into actionable recommendations for senior stakeholders.
Lead projects, coordinate with stakeholders, and communicate progress clearly.
Create and improve analytics for multifamily credit risk, economic capital, risk rating, and costing and pricing.
Support model governance activities to ensure compliance with regulatory standards.
Design stochastic processes, model risk drivers, and validate simulation outputs.