Banking Quant & ML Modeler: Risk Analytics & AI
Listed on 2026-10-06
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Finance & Banking
Data Scientist -
IT/Tech
Data Scientist, Machine Learning/ ML Engineer
Columbia Bank is seeking a data scientist/quantitative risk analyst to design, validate, and monitor financial and AI-enabled models across the bank. You will work on default, loss, fraud detection, credit risk, AML, asset liability management, and model monitoring, partnering with stakeholders to ensure regulatory alignment and business value.
Experience in Python, PySpark, SQL, and cloud platforms (Azure/AWS/Databricks/Snowflake) is required, with advanced statistical and econometric methods.
As a Banking Quant & ML Modeler:
Risk Analytics & AI, you will play an important part at Columbia Bank in Lake Oswego, OR, United States.
We aim to respond to suitable candidates as soon as possible.
Full responsibilities and requirements are described in the listing above.
Learn more about the Banking Quant & ML Modeler:
Risk Analytics & AI role in the description above.
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