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. Continue your career journey where your work contributes to a greater purpose.
Position Overview:
Freddie Mac Home Loan Mortgage Corporation’s goal is to make homeownership and rental housing more accessible and affordable. Our mission to provide liquidity, stability, and affordability to the U.S. housing market in all economic conditions extends to all communities from coast to coast.
The Enterprise Operations & Technology (EO&T) Risk Governance Team provides risk management support to the EO&T division at Freddie Mac. We work closely with all three lines of defense, and business partners on a series of risk governance and reduction activities. Apply now and learn why there’s #MoreAtFreddieMac!
Our Impact:
• Establishing and maintaining robust AI governance frameworks to ensure our AI systems are ethical, transparent, and compliant with all applicable laws and regulations.
• Collaborate with senior leadership to integrate AI governance into the overall business strategy.
• Ensure compliance with global regulatory requirements and industry best practices.
• Establish and oversee processes for continuous monitoring and evaluation of AI systems for fairness, accountability, and transparency.
• Prepare and present regular reports to the executive team and board of directors on the state of AI governance and compliance.
• Promote a culture of responsible AI use within the organization.
Your Impact:
• Assist in development of Freddie Mac’s comprehensive AI governance framework that is aligned with the company’s goals and values.
• Support day-to-day management of the AI Clearinghouse.
• Monitor and manage systems for tracking and reporting compliance with AI governance policies.
• Identify and assess potential risks heightened by AI solutions and develop mitigation strategies
Qualifications:
• Bachelor’s degree in a relevant field such as Computer Science, Law, Ethics, or Business. Advanced degree preferred.
• Minimum of 5 years of experience in AI governance, technology/information risk management, compliance, or a related field.
• Strong understanding of risk management frameworks, regulatory requirements, and industry best practices related to AI/ML and model governance
• Demonstrated ability to assess, monitor, and mitigate risks associated with advanced model and AI technologies
• Familiarity with the COSO internal control framework and risk management industry best practices
• Previous Big Four experience and/or relevant professional certifications (CISA, CISSP, Security+, CISM, CPA, CIA, etc.) a plus
Keys to Success in this Role:
• Excellent communication and people skills.
• Motivated and initiative-taking problem solver
• Ability to navigate competing priorities
• Ability to work independently or within a collaborative team environment
• Deep curiosity to learn about latest trends and how to do things better
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.
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 $113,000 - $169,000 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.
