More than 135 years ago, we started with core values that never go out of style: listen, learn and help businesses and individuals reach their goals. These core values shape our culture, and we were recently Great Place to Work Certified because of our outstanding workplace culture and employee experience. As well, our financial strength and stability are key reasons Forbes named us one of the Best 100 Banks in America for the ninth consecutive year.
With more than $16 billion in assets and 135 branch locations throughout Washington, Oregon, Idaho, and California, we understand our role in the economy and take that responsibility seriously. In addition to offering a source of capital to personal banking clients and businesses of all sizes, we place a high importance on employee volunteerism and donate millions of dollars each year to community organizations.
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.
In this role you'll
- 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
What we're looking for
- 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)
What helps you shine
- 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
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