Quantitative Analytics Tech Lead – Model Validation

Freddie Mac

About The Position

Freddie Mac’s Enterprise Risk Division is currently seeking a Quantitative Analytics Teach Lead to join the Enterprise Model Risk Group. The Enterprise Model Risk Group is responsible for model risk oversight including development, validation, implementation and monitoring models across multiple risk areas. The team is primarily responsible for validating key models used by the Single-Family Business Division. The models subject to review include origination scorecard model, Automated Valuation model, and credit loss models.

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.
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

Nice To Haves

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.

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.