Quantitative Modeler for Financial Risk & AI

Columbia Bank; Hillsboro (OR); In loco; USD 100.000 - 150.000; Tempo pieno

Descrizione del lavoro

Columbia Bank is seeking a senior-level data science professional to design, implement, and monitor statistical, financial, and AI-enabled models across risk, finance, and customer analytics. You will validate models, contribute to governance, and partner with stakeholders to ensure robust, regulatory-compliant solutions.

The role requires a Master’s degree in a quantitative field and 2–4 years of relevant banking experience, with strong Python, SQL, and ML skills.

Competenze

• Master’s degree in economics, mathematics, statistics, financial engineering, quantitative finance, or actuarial sciences (Required).
• 2–4 years in banking/financial services as Data Scientist or related roles (Required).
• Knowledge of model risk management regs (SR 26-2), Basel II/III, DFAST.

Mansioni

• Design, estimate, implement, test, document, monitor, and maintain statistical, financial, econometric, ML, and AI-enabled models used for business decisions and risk management.
• Develop models for default, loss severity, fraud detection, customer analytics, and credit risk.
• Support AI governance, documentation, monitoring, and responsible use standards for emerging analytics technologies.

Conoscenze

Statistical modeling

Machine learning

Communication

Project management

Formazione

Master’s Degree in economics/math/statistics/financial engineering/quantitative finance

Strumenti

Python

PySpark

R

Matlab

SQL

Databricks

Snowflake

Descrizione del lavoro

Columbia Bank is seeking a senior-level data science professional to design, implement, and monitor statistical, financial, and AI-enabled models across risk, finance, and customer analytics. You will validate models, contribute to governance, and partner with stakeholders to ensure robust, regulatory-compliant solutions.

The role requires a Master’s degree in a quantitative field and 2–4 years of relevant banking experience, with strong Python, SQL, and ML skills.