Quantitative Analyst

Banner Bank • Spokane, WA

1d

About The Position

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 us as a Quantitative Analyst and help drive the modeling and analytical insights that support critical decision‑making across the bank. In this role, you’ll build and enhance models that guide risk management, financial performance, and regulatory compliance. Your work will directly influence strategic planning while partnering with teams who value collaboration, growth, and high performance.

Requirements

• You have a Bachelor’s degree in Finance, Economics, Statistics, or Mathematics (Required).
• You have 4 or more years of experience with SQL, R, and Power BI (Required).

Nice To Haves

• You have a Master’s degree (Preferred).
• You have 2 or more years of experience in a modeling discipline within Banking or Capital Markets at a DFAST or CCAR institution or consulting firm (Preferred).
• You have 2 or more years of experience in financial and business analysis (Preferred).
• An equivalent combination of education and experience can be considered in lieu of a degree.
• You bring strong interpersonal skills and enjoy collaborating with partners across the organization.
• You excel at managing projects and adapting to evolving requirements while meeting tight deadlines.
• You are proficient in at least one programming language, such as R.
• You have experience developing models in PPNR, Credit Risk, or Market Risk.
• You understand time‑series models, including ARCH/GARCH, and have experience with time‑series and panel data analysis.
• You are familiar with linear and nonlinear generalized linear mixed models.
• You understand interdependence between risk factors, including variance‑covariance methods and copulas, and can apply key statistical distributions in analysis.
• You are knowledgeable about federal and state laws related to accounting, financial reporting, and stress‑testing models.

Responsibilities

• Develop and document models used for stress testing in alignment with regulatory requirements, including DFAST and Basel III.
• Develop, document, and maintain quantitative tools and models that measure risks to earnings and capital, including probability of default, loss given default, and exposure at default.
• Evaluate and enhance models to ensure relevance, accuracy, and ongoing compliance with regulatory expectations.
• Serve as a subject matter expert in risk quantification and modeling, collaborating with business partners, risk teams, and regulatory authorities.
• Prepare and provide data, model insights, and documentation for regulators, auditors, and consultants.
• Communicate model results, findings, and recommendations clearly and effectively to all levels of management.
• Analyze and translate data from multiple sources into meaningful business intelligence that supports sound financial and operational decisions.
• Ensure compliance with policies, procedures, security requirements, and relevant government regulations.

Benefits

• Comprehensive employee benefits, including: medical, dental, vision, LTD, STD and life
• Paid vacation time, sick time and 11 company paid holidays
• 401k (with up to 4% match)
• Tuition reimbursement

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees