AI/ML Risk Management Senior Associate

Company Description

At Fannie Mae, futures are made. The inspiring work we do helps make a home a possibility for millions of homeowners and renters. Every day offers compelling opportunities to impact the future of the housing industry while being part of an inclusive team thriving in an energizing, flexible environment. Here, you will grow your career and help create access to fair, affordable housing finance.

Job Description

The AI/ML Risk Management Senior Associate will join the Model Governance Solutions (MGS) team. The MGS team has responsibility to drive consistency, compliance, and sustainability in first-line model management activities across the enterprise. The MGS team capabilities include:

• Owning, updating, & maintaining enterprise 1st line of defense (LoD) model mgmt. procedures, templates, & working groups.
• Driving 1st LoD model mgmt. regulatory response and support.
• Performing 1st LoD model mgmt. compliance reviews, reporting, & enforcement.
• Providing 1st LoD training & consultation related to model mgmt. lifecycle requirements.
• Coordinating among & representing the 1st LoD community in relation to model mgmt. requirements and activity.

As a valued colleague on our team, you will assist the team with assessing and identifying potential model risks that may threaten our reputation, safety, security, and/or financial success, as well as participate with the team in communicating and collaborating with key stakeholders across the enterprise and understanding business objectives.

THE IMPACT YOU WILL MAKE
The AI/ML Risk Management Senior Associate role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:

• Execute on tactical elements of governance compliance for artificial intelligence (AI) and machine learning (ML).
• Be part of the team responsible for providing program management and oversight for 1St LoD AI/ML risk mgmt.
• Work with team members and leadership to prepare content and facilitate AI council and working group meetings.
• Work with stakeholders and team members to ensure requisite activities associated with AI/ML regulatory guidance occur.
• Work with MGS team members to ensure requisite activities within the enterprise AI/ML Risk Mgmt. Standard occur.
• Work with key stakeholders on identifying heightened risks, controls, and value of prospective AI/ML use cases.
• Work with Enterprise Architecture to create, and sustain, a comprehensive AI/ML use take intake process.
• Maintain the comprehensive inventory of AI use cases, evidence of review and approval, and associated documentation.
• Partner with Model Risk Management and other functions (e.g., legal) on requisite review and effective challenge of new AI/ML use cases.
• Partner with subject-matter-experts and strategic leaders to ensure execution of requisite control activities as articulated in the enterprise AI/ML strategy.
• Work with internal stakeholders to develop and deliver training content and socialization about AI/ML risk processes and controls.

Qualifications

Minimum Requirements 

• 2 years of risk management or governance experience 
• Bachelor's degree or equivalent

Desired Experiences  

• 2 to 3 years of risk management experience with exposure to model risk and AI/ML.
• Track record of execution, strong prioritization, and planning capabilities
• Relationship management skills to partner with team members and stakeholders as needed.
• Excellent oral and written communication skills, including the ability to explain complex processes in business terms.

Skills

• Ability to identify, make recommendations, and implement process improvements in day-to-day activities.
• Ability to work independently, but also comfortable working and contributing within a team environment.
• Comfortable working in a dynamic and ever evolving environment.
• Working with people with different functional expertise respectfully and cooperatively to work toward a common goal.
• Skilled in creating visual concepts, creating content, and editing content by hand or with the help with computer software to communicate ideas.
• Skilled in presenting information and/or ideas to an audience in a way that is engaging and easy to understand.
• Governance and Compliance skills including creating policies, evaluating compliance, conducting internal investigations, developing data governance, etc.
• Relationship Management skills including managing and engaging stakeholders, customers, and building relationship networks.
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