Quantitative Analytics Senior

Freddie Mac•McLean, VA

About The Position

Freddie Mac’s Single Family Modeling Department is seeking a Quantitative Analytics Senior responsible for the development and execution of quantitative analytics and modeling projects in support of Freddie Mac’s fair lending activities. The team is responsible for fair lending testing of Freddie Mac models and systems, applying modeling and statistical technologies to ensure compliance with regulatory expectations and the law. This role involves developing analytical methods and models to assess credit risk, conducting research on model enhancements, and applying industry best practices. The position requires providing innovative solutions to complex problems, implementing statistical models in efficient software languages, coding model prototypes, and modifying source code. Responsibilities also include coordinating testing, conducting back tests, economic tests, and stress tests, providing modeling and analytical support, and preparing documentation for technical analytics. The role operates under limited direction, independently resolving issues.

Requirements

PhD in Economics, Statistics, Math, Computer Science or a related quantitative field; or Master's degree with at least 3 years of relevant experience
Coursework or work experience writing statistical or optimization programs to develop models and algorithms.
Proficiency in programming languages such as Python, SQL, R or SAS
Experience in data science, machine learning, and related technologies
Demonstrated knowledge of AI tools and technologies, with a strong commitment to continuous learning and staying up-to-date with advancements in artificial intelligence
Exceptional quantitative and analytics skills
Strong knowledge of statistical models, tools and techniques
Strong programming skills
Effective interpersonal skills including the ability to collaborate successfully with other team members.
Strong oral and written communication skills with ability to succinctly describe complex technical scenarios in simple, easily-understood terms.

Nice To Haves

Experience with fair lending testing, algorithmic fairness, or debiasing techniques is a plus

Responsibilities

Development and execution of quantitative analytics and modeling projects in support of Freddie Mac’s fair lending activities.
Fair lending testing of Freddie Mac models and systems.
Applying modeling and statistical technologies to ensure Freddie Mac models comply with regulatory expectations and the law.
Developing analytical methods and models that assess the credit risk of new and existing financial and mortgage products.
Conducting research on enhancements to existing models, and applying industry best practices and techniques to meet various business needs.
Providing innovative, detailed and practical solutions to an extensive range of demanding and complicated problems.
Implementing statistical models in efficient software languages, coding model prototypes for specification and test cases, modifying source code in existing applications.
Coordinating testing throughout the model implementation lifecycle.
Conducting back tests to monitor the model performance, and performing economic tests and stress tests to validate model forecast results.
Providing modeling and analytical support to a line of business or product area, functioning as day-to-day technical specialist.
Preparing documentation for technical analytics and rationale throughout model developments to comply with model oversight requirements and support model review.
Working under limited direction, independently resolving issues.