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Model Risk Associate - AI Risk Management

Nationwide

Ohio ColumbusFull TimeEntry
Sign in to applyVerified
Location
Ohio Columbus
Employment
Full Time
Work model
On-Site
Level
Entry

Skills

AgileGenAIMachine LearningPythonSQL

About this role

As a team member in Finance at Nationwide, a Fortune 100 company with nearly $70 billion in annual sales, the opportunities are endless! Let Nationwide help create your career journey! At Nationwide®, “on your side” goes beyond just words. Our customers are at the center of everything we do and we’re looking for associates who are passionate about delivering extraordinary care. 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.

Compensation

Grade: G5 This role does not qualify for employer sponsored work authorization. Nationwide does not participate in the STEM OPT extension program.   It is our intention to fill this role in Columbus, OH. However, applications from candidates working remotely who bring critical industry skills and relevant experience may be considered.  #LI-KD1 Job Description Summary Do you have the desire to play a critical role in driving data-based business outcomes? At Nationwide, our Analytic professionals are responsible for modeling complex problems, discovering insights and identifying business opportunities using scientific research methods, statistics, machine learning and data visualization techniques. They participate in all phases of the analytic lifecycle, from research design, data collection and data processing to model building, deployment and presentation of results. Our industry-leading workforce adopts an agile work environment and a collaborative culture to deliver outstanding solutions and results. If that sounds like something you aspire to, we want to know more about you! As an Analytic Solutions Advisor, you’ll be responsible for working with Nationwide business leaders and data scientists to design and implement advanced analytics solutions that deliver deep insights and translate into high business value to our organization. To succeed, you’ll need to use business knowledge and a solid understanding of advance analytics (e.g., artificial intelligence, machine learning, etc.) to prioritize business problems and convey goals to data science professionals. You’ll have the opportunity to work with various technologies from big data, relational and SQL databases, unstructured data technology and programming languages such as SQL and Python.

Job Description

Key Responsibilities: 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

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