Quantitative Analyst

Banner Bank

Seattle (WA)

On-site

USD 88,657 - 104,303

Full time

14 days+

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Benefits offered by this job

Medical, dental, vision
Pension/retirement plan
Paid time off
Tuition reimbursement

Job summary

Banner Bank seeks a Quantitative Analyst to build and refine models supporting risk management, regulatory compliance, and strategic planning. You will collaborate with risk, finance, and technology teams to deliver data-driven insights and robust stress-testing tools.

The role requires strong SQL, R, and Power BI skills and experience in banking risk modeling (DFAST/CCAR preferred). Join a collaborative, growth‑focused team that values accuracy, transparency, and regulatory rigor in decision

Qualifications

  • Bachelor's degree in Finance, Economics, Statistics, or Mathematics required.
  • 4+ years of experience with SQL, R, and Power BI.
  • 2+ years in a modeling discipline within Banking or Capital Markets (Preferred).
  • 2+ years in financial and business analysis (Preferred).
  • Equivalent combination of education and experience considered.

Responsibilities

  • Develop and document models for stress testing per regulatory requirements (DFAST/Basel III).
  • Develop, document, and maintain quantitative tools and models measuring risks to earnings and capital (PD, LGD, EAD).
  • Evaluate and enhance models for regulatory compliance and relevance.
  • Serve as SME in risk quantification, collaborating with business partners and regulators.
  • Prepare data, model insights, and documentation for regulators, auditors, and consultants.
  • Communicate model results and recommendations to management.
  • Translate data from multiple sources into business intelligence for decisions.
  • Ensure compliance with policies, security, and government regulations.

Skills

Interpersonal skills
Project management
R programming
Timeseries analysis
Panel data analysis
Statistical distributions
Linear mixed models
Copulas
Variance‑covariance methods

Education

Bachelor's degree in Finance/Economics/Statistics/Mathematics
Master's degree

Tools

SQL
R
Power BI

Job description

Join us as a Quantitative Analyst and help drive the modeling and analytical insights that support critical decisionmaking 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 that value collaboration, growth, and high performance.

In this role you'll
  • 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.
What we're looking for
  • You have a Bachelor's degree in Finance, Economics, Statistics, or Mathematics (Required).
  • You have a Master's degree (Preferred).
  • You have 4 or more years of experience with SQL, R, and Power BI (Required).
  • 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.
What helps you shine
  • 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 timeseries models, including ARCH/GARCH, and have experience with timeseries 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.
Travel
  • 0%
Compensation & Benefits
  • Targeted starting salary range (based on experience): $88,657-104,303
  • Annual incentive potential
  • 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

Banner Bank is an Equal Opportunity Employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, marital status, age, disability or protected veteran status.

Banner Bank does not accept unsolicited resumes from agencies and/or search firms for any job postings. Resumes submitted to any Banner Bank employee by a third‑party agency and/or search firm without a valid written and signed search agreement will become the sole property of Banner Bank. No fee will be paid if a candidate is hired for a position as a result of an unsolicited agency or search firm referral.

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