Credit Risk Modeler II: Consumer Portfolio (Python/SQL)

A financial services provider is seeking an experienced analyst to support quantitative behavioral models for credit, interest rate, and liquidity risk management. This hybrid role requires in-office work and involves analyzing large data sets, developing econometric models, and working with stakeholders across the bank. The ideal candidate will have strong skills in Python, SQL, and statistical software, as well as a Bachelor's degree or equivalent experience. A focus on credit risk modeling is preferred. #J-18808-Ljbffr