Quantitative Modeler & AI Risk 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

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