IT Risk Tech Lead - AI and Model Risk Governance

Freddie Mac; McLean (VA); Hybrid; USD 136,000 - 204,000; Full time

Job summary

Freddie Mac is seeking an experienced risk governance professional to lead the development and continuous improvement of model governance and AI governance; you will drive automation and coordinate vendor risk across third parties.

The role requires deep knowledge of COSO and NIST frameworks, 8+ years in relevant governance fields, and the ability to translate regulatory requirements into robust controls; this is a full-time, on-site position in McLean, VA offering a competitive salary and

Qualifications

• Bachelor’s degree in a relevant field (Computer Science, Information Systems, Finance, Risk Management or related).
• Advanced degrees (MBA, MS) preferred.
• 8+ years in model risk governance, AI/ML risk management, operational risk, or related governance/compliance.

Responsibilities

• Lead the development, implementation, and continuous improvement of model governance operating processes.
• Drive process automation initiatives to improve operational efficiency and scalability.
• Lead and support operational control testing activities to assess control execution effectiveness.
• Coordinate and manage third-party vendor risk governance activities, including vendor SOC and Enhanced Information Risk Review.
• Lead AI Clearinghouse operations and strategic initiatives, including AI solution intake governance and management reporting.
• Partner with cross-functional stakeholders to implement platform enhancements and operational improvements.
• Support management in executing strategic initiatives and high-priority projects.
• Serve as trusted advisor on model, AI, and vendor governance requirements.

Skills

Model risk governance

AI/ML risk management

Operational risk management

Technology risk management

Regulatory compliance

Education

Bachelor’s degree

MBA or MS preferred

Certifications: CISA, CISSP, CISM, CPA, CIA

Tools

COSO framework

NIST controls

Job description

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.

Position Overview:

The Enterprise Operations & Technology (EO&T) Risk Governance Team provides risk management support to the maturing of EO&T division’s model risk governance process and the enterprise-wide adoption of AI risk governance framework. We work closely with all three lines of defense, and business partners on a series of risk governance and reduction activities.

Our Impact:

• Develop and operationalize scalable model governance processes within EO&T division to promote effective model governance compliant with regulatory requirements
• Support enterprise Artificial Intelligence (AI) adoption through the development and enhancement of critical governance technology solutions
• Execute risk mitigation processes to ensure compliance with model and AI governance requirements
• Develop and deliver management reporting and insights to stakeholders on the model and AI governance and compliance programs
• Facilitate continuous monitoring, reporting, and improvement of compliance with regulatory and corporate requirements

Your Impact:

• Lead the development, implementation, and continuous improvement of model governance operating processes
• Drive process automation initiatives to improve operational efficiency and scalability
• Lead and support operational control testing activities to assess control execution effectiveness
• Coordinate and manage third-party vendor risk governance activities, including vendor SOC and Enhanced Information Risk Review
• Lead AI Clearinghouse operations and strategic initiatives, including AI solutions and use case intake governance, stakeholder support, anomaly resolution, management reporting, and platform enhancement
• Partner with cross-functional stakeholders to enhance and implement platform and tool enhancements and operational improvements
• Support management in executing strategic initiatives, risk mitigation efforts, and other high-priority projects
• Serve as a trusted advisor to business, technology, and risk partners on model, AI, vendor governance requirements

Qualifications:

• Bachelor’s degree in a relevant field such as Computer Science, Information Systems, Finance, Risk Management or a related field. Advanced degrees (MBA, MS, or equivalent) preferred
• Minimum of 8 years of experience in model risk governance, AI/ML risk management, operational risk management, technology risk management, or related governance and compliance functions
• Experience developing, implementing, or operating model governance and AI governance, and ability to interpret regulatory requirements and translating governance standards into operational processes and controls
• Working knowledge of the COSO internal control framework, the NIST controls framework, operational risk management principles, and financial industry governance and compliance practices
• Previous experience in IT audit, operational risk management, regulatory compliance, or a Big Four consulting
• Relevant professional certifications such as CISA, CISSP, CISM, CPA, CIA Security+, or similar certifications are strongly desired

Keys to Success in this Role:

• Strong technical, analytical, problem-solving, and critical thinking skills
• Excellent written, verbal, and interpersonal communication skills
• Self-motivated and proactive professional with a strong sense of ownership and accountability
• Ability to adapt changes positively and quickly
• Ability to manage competing priorities and deliver high-quality results in a fast-paced environment
• Ability to work independently while fostering collaboration across diverse teams and stakeholders
• Intellectual curiosity and passion for learning emerging technologies, AI and model trends, and evolving regulatory requirements
• Strong organizational and project management skills with attention to detail and excellence.
• Ability to drive process improvements, automation, and operational excellence.

We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

A safe and secure environment is critical to Freddie Mac’s business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.

CA Applicants:

Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Time-type:Full timeFLSA Status:Exempt

Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.

This position has an annualized market-based salary range of $136,000 - $204,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.