57 applicants

Company

Fannie Mae · 8 hours ago

Enterprise Analytics and Modeling - Risk Management - Lead Associate (Open to Remote)

1100 15th St NW, Washington, DC

Full-time

Remote

Entry, Mid Level

$119K/yr - $155K/yr

4+ years exp

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Comp. & Benefits

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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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Risk ManagementAI/ML ExperienceGovernanceComplianceExcelRelationship ManagementContent CreationStakeholder EngagementProcess ImprovementData Analysis

Required

4 years of risk management, governance or AI/ML experience

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

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.

Skilled in Excel

Governance and Compliance skills including creating policies, evaluating compliance, conducting internal investigations, developing data governance, etc.

Preferred

Bachelor degree or equivalent

Experience in Financial Services or other highly regulated industries.

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.

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.

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.