About this opportunity
Columbia Banking System lists this Quantitative Modeler & Data Scientist opportunity in lake oswego, Oregon. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Columbia Banking System is seeking a quantitative modeler and data scientist to design, implement, and maintain modeling solutions that support business decisions, risk management, and strategic initiatives. The role spans statistical, mathematical, economic, financial, and AI/ML-driven approaches, with active involvement in model validation, governance, documentation, and performance monitoring in alignment with regulatory expectations, including SR 26-2.
This onsite position is located in Lake Oswego, OR , with a salary range of USD 100,000 - 150,000 per year . The role requires at least 2 years of relevant experience and a Master’s Degree in a quantitative or economics-focused field.
What you will do
Design, estimate, implement, test, document, monitor, and maintain statistical, financial, economic, machine learning, and AI-enabled models used for business decision-making, risk management, forecasting, and strategic initiatives.
Develop and support models for default , loss severity , fraud detection , customer analytics , financial planning , credit risk , anti-money laundering , and asset liability management , along with other financial and non-financial applications.
Support responsible adoption of AI/ML capabilities by contributing to governance, documentation, monitoring, control design, and appropriate use standards for emerging analytics technologies.
Conduct quantitative analysis, modeling, data mining, and programming using tools such as Databricks , Snowflake , SQL , R , Python , and other approved analytics platforms to produce insights, test hypotheses, and recommend actions.
Partner with business, technology, risk, compliance, and governance stakeholders to define analytical approaches and modeling solutions aligned with internal standards and applicable regulatory expectations, including SR 26-2 .
Research and develop quantitative tools and techniques to measure and analyze model risk, documenting strengths and limitations.
Assess model conceptual foundations, including model specification, assumptions, limitations, variable selection, underlying data, developmental evidence, and documentation.
Interview model developers/vendors and model owners to understand business context and facilitate adoption of model risk management standards.
Stay current on banking regulations affecting model risk management across the organization.
Advocate sound quantitative model development, model monitoring, and AI governance practices.
Propose and execute model validation tests for new and existing models in the inventory.
Support production of regular and ad-hoc reports on individual and bank-level model findings for Senior Management and regulators.
Coordinate with the model validation team on changes to the bank’s model inventory or end user applications.
Perform required compliance activities for assigned job functions, follow bank policies and procedures, and complete annual or job-specific training.
Maintain working knowledge of written policies and procedures related to the Bank Secrecy Act , Regulation CC , Regulation E , Bank Security , and other applicable regulations.
May coach, mentor, or train others and teach coursework as a subject matter expert.
Embrace and help foster Columbia’s corporate culture through actions and words; take personal initiative and serve as a positive example.
Support Columbia’s vision to become the “Business Bank of Choice” .
May perform other duties as assigned.
Required qualifications
Master’s Degree in economics, mathematics, statistics, financial engineering, quantitative finance, or actuarial science.
2-4 years in banking or financial services as a Data Scientist, Statistician, Quantitative Risk Analyst, Model Developer, Model Validator, or similar.
Knowledge of regulatory requirements related to model risk management, including FRB/OCC SR 26-2 , Basel II/III capital requirements , and Dodd-Frank Act Stress Testing (DFAST) .
Advanced understanding of statistical modeling, econometric forecasting, machine learning, data extraction and processing, with proven ability to apply these methods.
Experience with analytics software including Python, PySpark, R, Matlab, Excel VBA, and SQL , plus relational databases and/or cloud platforms such as Azure, AWS, Databricks, and Snowflake .
Communication skills to translate complex statistical or economic analysis into practical implications for business teams and Senior Management.
Strong organizational skills to manage multiple concurrent projects and meet strict deadlines.
Ability to proactively learn emerging statistical, econometric, and mathematical modeling techniques and understand their implications in a banking environment.
Critical thinking, business intuition, intellectual curiosity, and execution capability.
Certification as FRM , CFA , or CQF , or progress toward one of these certifications.
Tools and technologies
Databricks, Snowflake, SQL, R, Python, PySpark, Matlab, Excel VBA
Azure, AWS
Benefits
Comprehensive healthcare coverage including medical, dental, and vision
401(k) retirement savings plan with employer match for qualifying associate contributions
Employee assistance program
Life insurance and disability insurance
Tuition assistance, mental health resources, and identity theft protection
Legal support, auto and home insurance, and pet insurance
Access to an online discount marketplace
Paid vacation, sick days, volunteer days, and holidays
Additional compensation: The role may be eligible for performance-based incentive compensation, with details provided during the recruitment process.
Equal opportunity: Columbia Bank is an equal opportunity and affirmative action employer committed to employing, engaging, and developing a diverse workforce. Columbia Bank does not accept unsolicited resumes or applications from staffing and recruiting agencies.
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Worksite address
lake oswego, OR, 97034, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.