Quantitative Modeler & Data Scientist

Columbia Bank; Hillsboro (OR); On-site; USD 100,000 - 150,000; Full time

Benefits offered by this job

Healthcare coverage

401(k) retirement plan

Paid vacation and holidays

Job summary

Columbia Bank is recruiting for a data science and quantitative risk role based in Hillsboro/Lake Oswego, OR. You will design and validate statistical, financial, and AI-enabled models to inform decisions and strengthen risk management.

The role collaborates with stakeholders across risk, compliance, and governance teams to ensure responsible AI adoption and regulatory alignment. You will apply methodologies in econometrics, forecasting, and ML, using Python, PySpark, SQL, and cloud platforms to

Qualifications

• Master's Degree required in economics, mathematics, statistics, financial engineering, quantitative finance, or actuarial sciences.
• Ph.D. favorable or equivalent experience.
• 2–4 years in banking or financial services as a Data Scientist, Statistician, Quantitative Risk Analyst, Model Developer, Model Validator, or similar.

Responsibilities

• Design, estimate, implement, test, document, monitor, and maintain statistical, financial, economic, machine learning, and AI-enabled models.
• Support model risk management, governance, and validation activities.
• Conduct quantitative analysis using tools such as Python, SQL, R, Databricks, and Snowflake to generate insights and recommendations.

Skills

Statistical modeling

Econometric forecasting

Machine learning

Data extraction & processing

Communication skills

Multi-tasking

Education

Master's degree in economics, mathematics, statistics, financial engineering, quantitative finance, or actuarial sciences

Ph.D. Doctoral degree

Tools

Python

PySpark

R

Matlab

Excel VBA

SQL

Databricks

Snowflake

Job description

Lake Oswego, Oregon

Hillsboro, Oregon

Full time

JR103358

About the Role:

In this role, you will develop, implement, and support statistical, mathematical, economic, financial, and AI/ML-driven models that inform business decisions, strengthen risk management, and support strategic initiatives across the bank. The role provides exposure to a broad range of modeling and analytics applications, including financial planning, fraud detection, customer analytics, credit risk, anti-money laundering, asset liability management, and AI-enabled capabilities in areas such as fraud analytics, customer intelligence, process automation, and model monitoring.

You will contribute to model validation, governance, documentation, and performance monitoring for financial, non-financial, and AI/ML-enabled models used across the organization. In partnership with stakeholders across the bank, you will provide guidance on model design, selection, implementation, monitoring, and appropriate use, with a focus on sound methodology, regulatory alignment, business value, and responsible adoption of emerging AI technologies.

• 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, asset liability management, model monitoring, and other financial and non-financial applications across the bank.

• 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 generate insights, test hypotheses, and provide actionable recommendations.

• Partner with business units, technology, risk, compliance, and governance stakeholders to identify business needs, define analytical approaches, and develop 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 risks and establish conclusions on strengths and limitations of the model. Assess conceptual foundations of a model, model specification, underlying assumptions, limitations, variable selection, underlying data, developmental evidence, documentation.

• Interview model developers/vendors and model owners to understand the business context for model use and facilitate the adoption of model risk management standards. Keep up-to-date with any banking regulations affecting model risk management practices across the bank.

• Advocate sound quantitative, model development, model monitoring, and AI governance practices across the bank.

• Propose and execute model validation tests for new and existing models in the inventory.

• Assist manager in production of regular and ad-hoc reports on individual and Bank-level model findings for Senior Management and regulators.

• Coordinate with model validation team on any changes to the Bank’s model inventory or End user Applications..

• Demonstrates compliance with all bank regulations for assigned job function and applies to designated job responsibilities – knowledge may be gained through coursework and on-the-job training. Keeps up to date on regulation changes.

• Follows all Bank policies and procedures, compliance regulations, and completes all required annual or job-specific training.

• Maintain a working knowledge of Bank's written policies and procedures regarding Bank Secrecy Act, Regulation CC, Regulation E, Bank Security and other regulations as applicable to this job description.

• May be asked to coach, mentor, or train others and teach coursework as subject matter expert.

• Actively learns, demonstrates, and fosters the Columbia corporate culture in all actions and words.

• Takes personal initiative and is a positive example for others to emulate.

• Embraces our vision to become “Business Bank of Choice”

• May perform other duties as assigned.

About You:

• Master's Degree Master’s Degree in economics, mathematics, statistics, financial engineering, quantitative finance, or actuarial sciences. Required

• Ph.D. Doctoral degree or equivalent experience. Preferred.

• 2-4 years in banking or financial services as a Data Scientist, Statistician, Quantitative Risk Analyst, Model Developer, Model Validator, or similar. Required

• Knowledge of regulatory requirements related to model risk management (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 techniques; and demonstrated ability to apply such methods.

• Experience with analytics software ( Python, PySpark, R, Matlab, Excel VBA, SQL), relational databases and/or cloud computing platforms like Azure, AWS, Databricks, Snowflake.

• Possess communication skills, both oral and written, with ability to translate complex statistical or economic theories and analysis into practical implications for business teams and Senior Management.

• Demonstrate strong organizational skills, with the ability to manage multiple concurrent projects.

• Ability to proactively learn newly emerging statistical, econometric, and mathematical modeling techniques, and understand the implications of their use in a banking organization.

• Proven organizational skills are required to perform multiple tasks simultaneously to meet strict deadlines. Critical thinker with business intuition, intellectual curiosity, and ability to execute.

• Certification as Financial Risk Manager (FRM), Chartered Financial Analyst (CFA), or Certificate in Quantitative Finance (CQF) or progress toward the Certification.

The pay range for this role is $100,000.00 - $150,000.00.

The pay rate for the selected candidate is dependent upon a variety of non-discriminatory factors including, but not limited to, job-related knowledge, skills, and experience, education, and geographic location. The role may be eligible for performance-based incentive compensation, and those details will be provided during the recruitment process.

Primary Location: Ability to work fully onsite at posted location(s).

5885 Meadows Road Suite 300 Lake Oswego OR 97035

Our Benefits:

We are proud to offer a competitive total rewards package including base wages and comprehensive benefits.

We offer eligible associates comprehensive healthcare coverage (medical, dental, and vision plans), a 401(k)-retirement savings plan with employer match for qualifying associate contributions, an employee assistance program, life insurance, disability insurance, tuition assistance, mental health resources, identity theft protection, legal support, auto and home insurance, pet insurance, access to an online discount marketplace, and paid vacation, sick days, volunteer days, and holidays. Benefit eligibility begins the first day of the month following the date of hire for associates who are regularly scheduled to work at least thirty hours weekly.

Our Commitment to Diversity:

Columbia Bank is an equal opportunity and affirmative action employer committed to employing, engaging, and developing a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, age, sexual orientation, gender identity, gender expression, protected veteran status, disability, or any other applicable protected status or characteristics. If you require an accommodation to complete the application or interview(s), please let us know by email: [e-mail] .

At Columbia Bank, we’re redefining what it means to bank and to build a career. As the West’s premier banking experience, we combine the strength and scale of a leading financial institution with the heart and mindset of a community bank. With more than 350 locations across eight states, we deliver relationship-based service backed by regional expertise and resources that help families and businesses thrive.

Our culture is built on Do RIGHT , which means:

• Relationships: We create authentic connections with customers, colleagues, and communities.

• Impact: Every role here makes a meaningful difference in people’s lives and local economies.

• Growth: We invest in your success with career development, mentorship and learning opportunities.

• Heart: We care deeply about doing what’s best for our customers and each other.

• Trust: Integrity and transparency guide everything we do.

Why work for Columbia Bank?

• A strong, stable financial foundation with over $67 billion in assets and a diverse portfolio that supports flexibility and opportunity.

• A culture of belonging and purpose, where your ideas matter and your work has impact.

• Competitive benefits and flexibility designed to help you thrive personally and professionally.

• Community engagement that matters, from supporting local businesses to empowering youth through financial literacy initiatives.