Director, Quantitative Modeling & AI Strategy

Columbia Bank; Lake Oswego (OR); In loco; USD 151.000 - 278.000; Tempo pieno

Vantaggi offerti da questo lavoro

Healthcare coverage

401(k) plan with employer match

Tuition assistance

Life insurance

Disability insurance

Paid vacation

Descrizione del lavoro

Columbia Bank is seeking a senior leader to advance quantitative modeling, AI/ML, and decision science across credit risk, fraud, finance, and treasury. You will build scalable, well-governed analytics platforms and ensure production readiness with robust monitoring and risk controls.

The role requires 7–10+ years in statistical modeling, 4–7+ years leading teams, and strong collaboration with Risk, Compliance, and Technology. On-site Lake Oswego, OR.

Competenze

• 7-10+ years in statistical modeling or model implementation.
• 4-7+ years leading quantitative modeling, data science, or analytics teams in regulated banking or financial services.
• 3+ years experience with Commercial Real Estate Risk Modeling.
• Strong understanding of model risk management, data governance, and governance controls.

Mansioni

• Lead development, monitoring, and enhancement of quantitative models, AI/ML, and decision science across enterprise use cases.
• Define model development standards, performance monitoring, and MLOps practices.
• Partner with risk, compliance, data management, and technology stakeholders to deliver production-ready analytics solutions.
• Brief executive management and governance forums on model initiatives and delivery risks.

Conoscenze

Python

SQL

MLOps

Databricks

Snowflake

Formazione

Bachelor's Degree in Financial Engineering or related field

Advanced degree in Financial Engineering, Applied Mathematics, Statistics, Economics, Finance

Strumenti

MLflow

scikit-learn

XGBoost

Spark

Descrizione del lavoro

Columbia Bank is seeking a senior leader to advance quantitative modeling, AI/ML, and decision science across credit risk, fraud, finance, and treasury. You will build scalable, well-governed analytics platforms and ensure production readiness with robust monitoring and risk controls.

The role requires 7–10+ years in statistical modeling, 4–7+ years leading teams, and strong collaboration with Risk, Compliance, and Technology. On-site Lake Oswego, OR.