Applied AI ML Sr Associate

This role sits within CCB Risk Management and is responsible for leading the governance and oversight of vendor fraud models used across the Consumer & Community Banking (CCB) business.

Key responsibilities:

• Manage the end-to-end lifecycle of vendor fraud models, including onboarding, reviews, upgrades, ongoing monitoring, annual assessments, and remediation activities.
• Partner with Product, Risk Strategy, Vendors, Compliance, Legal, and Model Risk Governance & Review (MRGR) teams to support model onboarding and governance.
• Prepare and coordinate model documentation, governance submissions, Fair Lending reviews, and MRGR reviews.
• Monitor model performance, manage Model Risk Issues (MRIs) and action plans, and ensure compliance with governance requirements.
• Evaluate business benefits, risks, and impacts of vendor models and provide actionable insights to senior leadership.
• Lead discussions around model selection, usage rationale, contingency planning, and strategic risk management.

Desired profile:

• Advanced degree (MS or PhD) in a quantitative discipline such as Statistics, Mathematics, Computer Science, Econometrics, Operations Research, or Physics.
• 5+ years of experience in predictive risk modeling and/or model governance within financial services.
• Strong understanding of MRGR, model risk management, Fair Lending reviews, and governance processes.
• Experience in fraud risk modeling and stakeholder management across multiple functions.
• Excellent communication skills and ability to influence senior stakeholders.