Senior Lead, Enterprise Model Risk & AI/ML Governance

Freddie Mac; McLean (VA); On-site; USD 151,000 - 227,000; Full time

Job summary

Freddie Mac is seeking a Senior Lead to strengthen its enterprise model risk governance. You will partner across Enterprise Risk to oversee model risk management, including governance, validation, and performance monitoring for traditional and AI/ML models.

The role emphasizes collaboration with model owners, validators, and technology teams to build robust governance systems and scalable risk controls in a fast-paced environment.

Qualifications

• Bachelor’s degree required; Master’s degree preferred in finance, economics, statistics, mathematics, engineering, data science, or a related field.
• Strong understanding of model risk management principles, governance frameworks, and second line of defense responsibilities.

Responsibilities

• Provide second line of defense governance and oversight across the enterprise model risk management framework.
• Partner with model owners, validators, and stakeholders to ensure proper lifecycle management of models.
• Support governance of traditional and AI/ML models, including documentation, performance monitoring, and change management.
• Lead quality assurance to ensure conformance with policies and standards.
• Identify opportunities for automation and efficiency to strengthen governance workflows.
• Develop and coach team members and foster accountability and collaboration.

Skills

Model risk governance

AI/ML governance

Regulatory knowledge

Stakeholder collaboration

Leadership

Governance frameworks

Second line of defense

Risk management tools

Education

Bachelor’s degree

Master’s degree preferred

Tools

Model risk management tools

Policy & governance systems

Job description

Freddie Mac is seeking a Senior Lead to strengthen its enterprise model risk governance. You will partner across Enterprise Risk to oversee model risk management, including governance, validation, and performance monitoring for traditional and AI/ML models.

The role emphasizes collaboration with model owners, validators, and technology teams to build robust governance systems and scalable risk controls in a fast-paced environment.