Enterprise Analytics and Modeling - Risk Management - Lead Associate (Open to Remote)
Washington, DC, United States
Fannie Mae
We facilitate equitable and sustainable access to homeownership and quality, affordable rental housing across America.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
As a valued colleague on our team, you will provide expert advice on, and guide team in, assessing and identifying potential risks that may threaten our reputation, safety, security, and/or financial success, as well as participate with key stakeholders across the enterprise and guide team in understanding business objectives.
The Enterprise Analytics and Modeling - Risk Management - Lead Associate (Open to Remote) will join the Model Governance Solutions (MGS) team. Model Governance Solutions (MGS) is a first line of defense team whose mission is to drive efficiency, consistency, and compliance in first-line model management activities across the enterprise. 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 Enterprise Analytics and Modeling - Risk Management - Lead Associate (Open to Remote) 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 management.
- 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 Management 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.
- Guide team in preparing analyses and reports used to determine business areas that pose potential risks to the enterprise.
- Guide team in preparing analyses and reports used to evaluate the impact of proposed risks to the enterprise.
- Lead team in monitoring information and processes to reduce risk using rigorous analysis.
- Document resolutions and control guidelines.
- Guide team efforts to review business strategies, and make decisions that will drive success in the face of shifting consumer behaviors and regulations.
Qualifications
THE EXPERIENCE YOU BRING TO THE TEAM
Minimum Required Experiences
- 4 years of risk management, governance or AI/ML experience
Skills
- Skilled in presenting information and/or ideas to an audience in a way that is engaging and easy to understand
- Skilled in creating visual concepts, creating content, and editing content by hand or with the help with computer software to communicate ideas
- Working with people with different functional expertise respectfully and cooperatively to work toward a common goal
- Experience gathering accurate information to explain concepts and answer critical questions
- The group of skills related to Relationship Management including managing and engaging stakeholders, customers, and vendors, building relationship networks, contracting, etc.
Tools
- Skilled in Excel
Desired Experience
- Bachelor degree or equivalent
- An ideal candidate will have at least 4 years of risk management experience with at least 1 year in model risk management.
- Experience in the practices, policies, and frameworks that guide the development, deployment, and management of AI/ML models.
- Track record of execution, strong prioritization, and the ability to lead teams
- 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.
- Experience in Financial Services or other highly regulated industries.
Skills
- Strong organizational, analytical and problem-solving 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.
- Passion for AI, Machine Learning and Data Analysis. Interest in exploring AI/ML trends and techniques outside of day-to-day job duties.
- Learn, provide, and maintain up-to-date knowledge of relevant industry and regulatory standards, best practices, and business processes used in model risk management.
- Be a self-starter.
Additional Information
The future is what you make it to be. Discover compelling opportunities at careers.fanniemae.com.
Fannie Mae is an Equal Opportunity Employer, which means we are committed to fostering a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, religion, national origin, gender, gender identity, sexual orientation, personal appearance, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation in the application process, email us at careers_mailbox@fanniemae.com.
The hiring range for this role is set forth on each of our job postings located on Fannie Mae's Career Site. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee’s physical, mental, emotional, and financial well-being. See more here.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Data analysis Data governance Excel Finance Machine Learning ML models Security
Perks/benefits: Career development Flex hours Health care Team events
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