Quantitative Analytics Tech Lead – Model Validation

Freddie Mac•McLean, VA

About The Position

Freddie Mac’s Enterprise Risk Division is seeking a Quantitative Analytics Tech Lead to join the Enterprise Model Risk Group. This group is responsible for model risk oversight, including the development, validation, implementation, and monitoring of models across multiple risk areas. The team primarily focuses on validating key models used by the Single-Family Business Division, such as origination scorecard models, Automated Valuation models, and credit loss models. Freddie Mac is a leader in the U.S. housing market, working to make homeownership and rental housing more accessible and affordable.

Requirements

PhD in economics, finance, statistics, or related quantitative discipline with 3+ years' experience, or Master’s with 5+ years relevant experience.
Coursework or work experience applying predictive modeling techniques from finance, statistics, mathematics, data science, and computer programming to large datasets.
Qualifying coursework may include statistics, mathematical programming, optimization, machine learning, computational methods, design and analysis of algorithms, Bayesian methods, derivatives, and Monte Carlo methods/modeling.
Experience in regulated financial services institutions preferred.
Deep intellectual curiosity to explore new methods and acquire techniques beyond one’s own expertise.
Ability to translate analytical results into actionable insights that inform strategy and business direction.
Proficiency in machine learning and AI techniques.
Strong technical and programming skills for processing large datasets and building/validating complex models.
Superior technical writing and verbal communication skills.
Excellent organizational skills and ability to manage multiple priorities.

Responsibilities

Perform comprehensive validation of Single-Family Models in accordance with applicable Freddie Mac Policy and Standards and Regulatory requirements.
Review appropriate controls for associated model overlays, processes and applications that may include expert judgment or qualitative factors.
Recommend, as appropriate, the approval or disapproval of models, overlays, processes, and applications, and raise findings tied to weaknesses as determined by independent effective challenge.
Ensure conformance to internal control standards for associated model validation processes.
Interact effectively with model developers, implementers and users, business stakeholders, and governance committees to manage model validations, including operational management of associated model risk processes, and ensure compliance with Model Risk Policy and Standards.
Participate in and support audit and regulatory engagements, including remediation activities related to model risk.
Conduct ongoing monitoring and validation activities to support conformance to appropriate risk appetite and KRI metrics.
Engage with model governance and reporting functions, and other model validation groups, and support model risk activities.
Build strong relationships and consensus across the lines of defense on model validation matters, aligning conflicting priorities and resolving issues to achieve progress.