Charlotte, North Carolina, United States of America
Full Time
10 hours ago
No H1B
Key skills
LeadershipRisk ManagementBudgetingCommunication
About this role
Role Overview
Lead and manage model validations, internal audits, and consulting engagements related to: Current Expected Credit Losses (CECL), Asset Liability Management (ALM), Interest Rate Risk (IRR), Liquidity Risk, Budgeting and forecasting models, Risk ‑ Adjusted Return on Capital (RAROC)
Serve as a senior technical authority on financial institution modeling approaches, risk frameworks, quantitative methods, and regulatory expectations
Oversee detailed evaluation of model theory, assumptions, data, methodology, controls, cash flow logic, calibration, implementation, and performance monitoring
Review and approve high ‑ quality written reports summarizing findings, recommendations, and model improvement strategies
Lead, coach, and mentor team members across multiple simultaneous engagements
Oversee staff development, provide performance feedback, and support ongoing technical training initiatives
Allocate resources, set engagement timelines, and ensure successful completion of project milestones
Serve as a trusted advisor to financial institution executives and risk leaders
Communicate engagement progress, technical findings, and strategic recommendations clearly and confidently
Assist clients in enhancing model governance practices, strengthening model risk frameworks, and implementing regulatory expectations
Participate in and help drive business development initiatives, including opportunity identification, proposal development, and client presentations
Contribute to internal methodology enhancements, knowledge‑sharing, and development of best‑practice tools
Lead external presentations related to subject matter expertise, on occasion
Help shape the long‑term strategy of the Model Risk Management practice
Requirements
Bachelor’s degree in business, accounting, economics, finance, mathematics, statistics, data science, or related analytical field
7+ years of recent experience in Model Risk Management, financial institution modeling, quantitative risk analysis, or related analytical fields