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.