Director Enterprise Model Risk Governance

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose.

This role sits at the center of Freddie Mac’s enterprise model risk oversight, shaping how the company manages model risk across the business lines.

As a people manager, you’ll strengthen model governance and model risk management. You’ll partner closely across Enterprise Risk including Financial Risk and Non-Financial Risk areas, and the business divisions to manage model risk. The position offers high visibility, meaningful influence on enterprise outcomes, and the opportunity to innovate in model and AI/ML governance, risk system build-out, and risk control optimization while developing and leading talent in a fast-paced environment.

The Enterprise Model Risk (EMR) team within the Enterprise Risk Division is responsible for oversight and effective challenge of the company’s model risk.

Together, we:

• Establish governance, policies, and standards that define how the company manages model risk to support safety and soundness

• Monitor and report on the risk and control profile, model risk appetite, and performance of risk indicators and metrics against thresholds and limits

• Communicate enterprise-wide model risk management issues and validation findings and monitor effective and timely issue/finding resolution

• Provide timely and independent oversight and effective challenge of the company’s model risk management practices

• Execute an integrated oversight plan in collaboration with Financial Risk and other Non-Financial Risk areas to support the Chief Risk Officer in providing senior management and the Board with an enterprise view of risks

Director, Enterprise Model Risk Governance, an influential leader at Freddie Mac, you will:

• Provide second line of defense governance and oversight across the enterprise model risk management framework

• Lead model governance activities to promote consistent application of model risk policies, standards, procedures, and governance requirements across business lines

• Partner with model owners, model developers, validators, and risk partners to support sound model lifecycle management, including model development, implementation, use, change management, performance monitoring, validation, and retirement

• Support the development of model risk management tools and systems by partnering with business, technology, and operations teams on business requirements, workflow design, user acceptance testing, and implementation readiness

• Contribute to enhancements in model risk systems, workflows, and reporting capabilities to improve transparency, traceability, and oversight effectiveness

• Build strong partnerships with first line counterparts and across Enterprise Risk to strengthen model risk management practices and governance outcomes

• Monitor industry trends, regulatory developments, and emerging practices in model risk management and AI/ML governance to inform program improvements

• Identify opportunities for streamlining, optimizing and automating model risk processes and controls.

• Develop, coach, and lead team members while fostering a culture of accountability, collaboration, and continuous improvement

• At least 12 years of experience in model risk management, model governance, model validation, quantitative risk management, or related functions within a large, complex financial institution

• Bachelor’s degree required;
  Master’s degree preferred in finance, economics, engineering, data science, or a related field

• Proven leader with a track record of building, leading, and scaling high performing teams in complex organizations

• Strong understanding of model risk management principles and regulatory expectations, including SR 11-7, 26-2 and FHFA model AB

• Demonstrated experience in second line of defense model governance or model risk oversight within the financial services industry

• Strong knowledge of model lifecycle practices, including model…