
IT Risk Senior, Artificial Intelligence (AI) 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.
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 #More AtFreddie Mac!
Our Impact:
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Establishing and maintaining robust AI governance frameworks to ensure our AI systems are ethical, transparent, and compliant with all applicable laws and regulations.
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Collaborate with senior leadership to integrate AI governance into the overall business strategy.
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Ensure compliance with global regulatory requirements and industry best practices.
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Establish and oversee processes for continuous monitoring and evaluation of AI systems for fairness, accountability, and transparency.
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Prepare and present regular reports to the executive team and board of directors on the state of AI governance and compliance.
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Promote a culture of responsible AI use within the organization.
Your Impact:
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Assist in development of Freddie Mac’s comprehensive AI governance framework that is aligned with the company’s goals and values.
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Support day-to-day management of the AI Clearinghouse.
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Monitor and manage systems for tracking and reporting compliance with AI governance policies.
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Identify and assess potential risks heightened by AI solutions and develop mitigation strategies
Qualifications:
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Bachelor’s degree in a relevant field such as Computer Science, Law, Ethics, or Business. Advanced degree preferred.
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Minimum of 5 years of experience in Model Risk Governance, AI/ML Risk Management, or Model Quantitative Risk Oversight
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Strong knowledge of model validation concepts and Generative AI-specific risks
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Demonstrated hands-on experience in reviewing, validating, or governing AI models or MLs, including Generative AI systems
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Strong understanding of model validation methodologies and Generative AI-specific risk factors
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Demonstrated ability to assess, monitor, and mitigate risks associated with advanced model and AI technologies
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Familiarity with the COSO internal control framework and risk management industry best practices
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Previous Big Four experience and/or relevant professional certifications (CISA, CISSP, Security+, CISM, CPA, CIA, etc.) a plus
Keys to Success in this Role:
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Excellent communication and people skills.
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Motivated and initiative-taking problem solver
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Ability to navigate competing priorities
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Ability to work independently or within a collaborative team environment
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Deep curiosity to learn about latest trends and how to do things better
Current Freddie Mac employees please apply through the internal career site.
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.
Notice to External Search Firms: Freddie Mac partners with Bounty Jobs for contingency search business through outside firms. Resumes received outside the Bounty Jobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.Bounty Jobs.com and register with our referral code: MAC.
Time-type:Full time
FLSA 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 $111,000 - $167,000 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.
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Freddie Mac 소개

Freddie Mac
PublicFreddie Mac is a government-sponsored enterprise that purchases mortgages from lenders and securitizes them into mortgage-backed securities. The company provides liquidity to the U.S. residential mortgage market and supports homeownership and rental housing.
5,001-10,000
직원 수
McLean
본사 위치
리뷰
10개 리뷰
3.7
10개 리뷰
워라밸
4.0
보상
2.5
문화
4.2
커리어
3.0
경영진
4.0
68%
지인 추천률
장점
Supportive management
Good benefits and job security
Collaborative team environment
단점
Low/uncompetitive compensation
Limited advancement opportunities
Heavy workload and long hours
면접 후기
후기 5개
난이도
3.2
/ 5
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
자주 나오는 질문
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
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