Join a collaborative team dedicated to strengthening safe and sound banking practices through effective model risk management. In this role, you’ll play a critical part in validating and monitoring complex models that inform key business decisions. Your work will help ensure accuracy, compliance, and confidence across the organization.
Join a collaborative team dedicated to strengthening safe and sound banking practices through effective model risk management. In this role, you’ll play a critical part in validating and monitoring complex models that inform key business decisions. Your work will help ensure accuracy, compliance, and confidence across the organization.
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- Perform full-scope validations and periodic reviews of financial and risk models to assess conceptual soundness, data integrity, performance, and governance
- Design and implement model test plans, including reusable code and analytical tools to support future validations
- Partner with business units to monitor ongoing model performance and ensure alignment with expectations
- Collaborate with stakeholders to support adherence to model development and implementation standards
- Contribute to model governance activities, including model inventory, risk rating, and tracking across the bank
- Prepare clear, thorough validation reports and presentations for senior leadership
- Maintain detailed documentation and track progress on model risk initiatives
- Stay current on industry trends, regulatory expectations, and emerging practices in model risk management
- You have a Master’s degree in Statistics, Mathematics, Economics, Finance, or another quantitative discipline (Required).
- An equivalent combination of education and experience can be considered in lieu of a degree.
- You have 6 or more years of bank credit experience in model risk management, model development, or quantitative finance (Required)
- You apply advanced statistical and quantitative techniques to assess model assumptions, design, and performance
- Bring hands-on experience with validation techniques such as back-testing, sensitivity analysis, stress testing, and benchmarking
- You understand model risk management frameworks, regulatory guidance, and lifecycle governance standards
- Communicate complex technical concepts clearly and effectively to both technical and non-technical audiences
- You take initiative and consistently deliver accurate, high-quality work both independently and collaboratively
- You are proficient in analytical tools such as Excel, R, SAS, and SQL
- You identify model weaknesses and produce documentation that stands up to regulatory and audit review
- up to 10%
- Do the right thing
- Accountability "I have the opportunity to learn and grow every day in my current role. I love the work life balance, knowing that we work hard, and strive for high performance but we are celebrated."