Model Risk Associate - AI Risk Management

Nationwide Mutual Insurance • Columbus, OH

8h • Hybrid

About The Position

This position is part of the AI Risk Governance team — a dedicated advisory function within Enterprise Risk Management. Provide technical depth to assess AI/ML and generative AI systems, and translate technical realities into clear risk language for both practitioners and risk partners. Advise first-line teams on risk management throughout the AI lifecycle, tailoring guidance to each use case's context rather than applying one-size-fits-all rules, so teams can contextualize AI risk and build fit-for-purpose mitigation strategies. Keep risk controls current with rapidly evolving AI technology (including agentic AI), anticipating emerging risks and updating guidance and control expectations ahead of scaled deployment. Serve as a trusted, credible advisor who connects and aligns risk partners across all three lines on AI risk matters. Support the operationalization of AI risk management through agentic AI — designing and building AI agents, automations, or purpose-built tooling that scale risk guidance and embed risk controls into practitioners' workflows. Contribute to shared legal and compliance support, assembling audit-ready evidence and helping produce credible, timely responses to regulator and examiner inquiries. Communicate complex technical and risk concepts in plain language, building practitioner fluency and confidence in managing AI risk through training and education.

Requirements

• Provide technical depth to assess AI/ML and generative AI systems, and translate technical realities into clear risk language for both practitioners and risk partners.
• Advise first-line teams on risk management throughout the AI lifecycle, tailoring guidance to each use case's context rather than applying one-size-fits-all rules, so teams can contextualize AI risk and build fit-for-purpose mitigation strategies.
• Keep risk controls current with rapidly evolving AI technology (including agentic AI), anticipating emerging risks and updating guidance and control expectations ahead of scaled deployment.
• Serve as a trusted, credible advisor who connects and aligns risk partners across all three lines on AI risk matters.
• Support the operationalization of AI risk management through agentic AI — designing and building AI agents, automations, or purpose-built tooling that scale risk guidance and embed risk controls into practitioners' workflows.
• Contribute to shared legal and compliance support, assembling audit-ready evidence and helping produce credible, timely responses to regulator and examiner inquiries.
• Communicate complex technical and risk concepts in plain language, building practitioner fluency and confidence in managing AI risk through training and education.
• Undergraduate studies in statistics, actuarial science, engineering or related quantitative field, business science or MBA preferred.
• Typically, eight or more years of related work experience.
• Proven understanding of advanced analytics theory and experience with application in a key project and/or program.
• Strong verbal and written communication skills to interact with all levels of associates, senior management and vendors.
• Proficient in working with cross-functional teams to drive project execution.

Nice To Haves

• Certifications are not required but encouraged.

Responsibilities

• Provide technical depth to assess AI/ML and generative AI systems, and translate technical realities into clear risk language for both practitioners and risk partners.
• Advise first-line teams on risk management throughout the AI lifecycle, tailoring guidance to each use case's context rather than applying one-size-fits-all rules, so teams can contextualize AI risk and build fit-for-purpose mitigation strategies.
• Keep risk controls current with rapidly evolving AI technology (including agentic AI), anticipating emerging risks and updating guidance and control expectations ahead of scaled deployment.
• Serve as a trusted, credible advisor who connects and aligns risk partners across all three lines on AI risk matters.
• Support the operationalization of AI risk management through agentic AI — designing and building AI agents, automations, or purpose-built tooling that scale risk guidance and embed risk controls into practitioners' workflows.
• Contribute to shared legal and compliance support, assembling audit-ready evidence and helping produce credible, timely responses to regulator and examiner inquiries.
• Communicate complex technical and risk concepts in plain language, building practitioner fluency and confidence in managing AI risk through training and education.
• Leads advanced analytics projects.
• Consults with business partners to define and structure analytic projects.
• Analyzes trends and patterns in structured and unstructured data and synthesizes and communicates relevant insights to project teams and business partners using advanced analytics techniques.
• May lead multiple concurrent projects.
• Builds, packages and communicates analytic work (synthesis) using appropriate medium for relevant insights and applicable data visualizations.
• Uses statistical techniques to determine patterns and predict future business outcomes and trends.
• Synthesizes project work and the work of team members.
• Work may span more than one project or focus area.
• Plans and manages execution of work, participates in planning, and delivers on commitments.
• Develops scope, risk/control matrix, project timelines and assignments.
• Collaborates with leadership to develop analytics strategies for the business unit.
• Consults with business to understand, align and deliver analytics work that supports business objectives and priorities.
• Designs analytics solutions aligned to business needs using statistical, database and/or general programming languages and tools.
• Reviews analytic solution design and provide relevant feedback and coaching to project team associates.
• Builds and manages relationships and serve as a trusted business advisor to clients, partners in Enterprise Analytics Office, Technology, Advanced Analytics Hubs, and other partners.
• Builds partnerships across the enterprise to enhance analytics capabilities.
• Contributes to the continuous improvement of department processes through ongoing initiatives.
• May perform other responsibilities as assigned.

Benefits

• medical/dental/vision
• life insurance
• short and long term disability coverage
• paid time off with newly hired associates receiving a minimum of 18 days paid time off each full calendar year pro-rated quarterly based on hire date
• nine paid holidays
• 8 hours of Lifetime paid time off
• 8 hours of Unity Day paid time off
• 401(k) with company match
• company-paid pension plan
• business casual attire

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree