Quantitative Modeler, Data Scientist

Columbia Bank

. Develop, implement, support, test, document, monitor, and maintain statistical, mathematical, economic, financial, machine learning, and AI-enabled models .

Posted 9/18/2026full-timeLake Oswego • Oregon • United StatesJuniorMid-Level💰 $100,000 - $150,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in statistical modeling, machine learning, and quantitative analysis to develop and validate financial models while ensuring compliance with regulatory standards. Proficient in collaborating with cross-functional teams to implement AI governance and model risk management practices.

Highest-signal resume keywords

Statistical ModelingMachine LearningModel ValidationPython ProgrammingRegulatory Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical ModelingMachine LearningQuantitative AnalysisData MiningEconometric ForecastingModel DevelopmentModel MonitoringModel Risk ManagementData ExtractionFinancial Modeling

Soft Skills

Communication SkillsCritical ThinkingBusiness IntuitionIntellectual CuriosityProject Management

Tools & Technologies

PythonPySparkRMatlabExcel VBASQLAzureAWSDatabricksSnowflake

Certifications & Qualifications

FRMCFACQF

Industry Keywords

BankingFinancial ServicesModel Risk ManagementRegulation CCRegulation EBank Secrecy ActBasel IIBasel IIIDFASTCredit Risk

Tech Stack

Tools & technologies

AWSAzureCloudPySparkPythonSQLVBA

About the role

Key responsibilities & impact

Develop, implement, support, test, document, monitor, and maintain statistical, mathematical, economic, financial, machine learning, and AI-enabled models
Develop and support models for default, loss severity, fraud detection, customer analytics, financial planning, credit risk, anti-money laundering, asset liability management, and model monitoring
Contribute to responsible adoption of AI/ML capabilities through governance, documentation, monitoring, control design, and appropriate-use standards
Conduct quantitative analysis, modeling, data mining, and programming to generate insights and actionable recommendations
Partner with business units, technology, risk, compliance, and governance stakeholders to define analytical approaches and modeling solutions
Research and develop quantitative tools and techniques to measure and analyze model risks
Assess model conceptual foundations, specifications, assumptions, limitations, variable selection, underlying data, developmental evidence, and documentation
Interview model developers, vendors, and model owners regarding business context and model risk management standards
Advocate sound quantitative, model development, model monitoring, and AI governance practices
Propose and execute model validation tests for new and existing models
Assist the manager with regular and ad hoc reports on model findings for senior management and regulators
Coordinate changes to the bank's model inventory and end-user applications
Maintain compliance with bank regulations, policies, procedures, and required training
Maintain knowledge of Bank Secrecy Act, Regulation CC, Regulation E, Bank Security, and other applicable regulations
May coach, mentor, train others, and teach coursework as a subject matter expert
Perform other duties as assigned

Requirements

What you’ll need

Required master's degree in economics, mathematics, statistics, financial engineering, quantitative finance, or actuarial sciences
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 DFAST
Advanced understanding of statistical modeling, econometric forecasting, machine learning, data extraction, and processing techniques
Experience with Python, PySpark, R, Matlab, Excel VBA, SQL, relational databases, and/or cloud computing platforms such as Azure, AWS, Databricks, and Snowflake
Communication skills to translate complex statistical or economic theories and analyses into practical implications
Ability to manage multiple concurrent projects and meet strict deadlines
Ability to learn emerging statistical, econometric, and mathematical modeling techniques and understand their implications in banking
Critical thinking, business intuition, intellectual curiosity, and ability to execute
Certification as FRM, CFA, or CQF, or progress toward certification
Doctoral degree or equivalent experience preferred

Benefits

Comp & perks

Comprehensive healthcare coverage including medical, dental, and vision plans
401(k) retirement savings plan with employer match for qualifying associate contributions
Employee assistance program
Life insurance
Disability insurance
Tuition assistance
Mental health resources
Identity theft protection
Legal support
Auto and home insurance
Pet insurance
Online discount marketplace
Paid vacation, sick days, volunteer days, and holidays
Performance-based incentive compensation may be available