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Officer, Model and AI System Risk Management
Role at a glance
- Category
- AI Governance
- Work arrangement
- On-site
- Location
- Chicago, IL
- Salary range
- $85,000 to $110,000
- Posted
- Jul 20, 2026
Wintrust Financial is hiring a Officer, Model and AI System Risk Management in Chicago, IL. This is a AI Governance role in the governance, risk, and compliance field, with a posted range of $85,000 to $110,000. Review the full details below and apply directly with Wintrust Financial.
Performs independent and comprehensive validation of bank-wide AI systems, machine learning models, and econometric models in compliance with Federal Reserve and OCC Model Risk Management guidelines. Develops validation testing plans, evaluates conceptual soundness, and assesses data integrity and performance accuracy. Collaborates with executive management and risk committees to report findings and oversee issue
Full responsibilities and requirements are on Wintrust Financial's application page.
Apply for this role →Location and market context
This role is based in Chicago, IL on-site. Local candidates benefit from being close to Wintrust Financial's teams and regional hiring market. Confirm the exact in-office expectation and any relocation support with the employer.
About AI governance roles
AI governance sits at the intersection of policy, risk, and engineering. Teams are standing up model inventories, use-case intake and review, risk classification, and control monitoring as regulation and board scrutiny of AI intensify. Roles like this one are typically evaluated against frameworks such as NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices.
How to position yourself for this AI governance role
Strong candidates emphasize experience translating policy into operational controls, working across legal, compliance, security, product, and data teams, documenting AI system risks, and supporting governance processes. In your resume and outreach, tie your experience to how Wintrust Financial would apply NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices, and lead with concrete outcomes rather than duties.
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