The FHLB is a leading provider of credit solutions, committed to delivering exceptional service and innovative products to our Members. As part of our dynamic team, you will have the opportunity to contribute to the development of risk rating models and play a vital role in shaping our strategies for managing credit risk. We are seeking a quantitatively strong Risk Analyst to build and maintain credit risk models and perform credit analysis for depository members (banks and credit unions), with additional exposure to insurance counterparties. The ideal candidate brings rigorous statistical training (e.g., econometrics, probability, time-series) applied to credit risk, strong R programming, and hands-on financial statement analysis. You will use Databricks and SQL to work with larger datasets, and collaborate with Sales Directors to recommend credit structures and terms aligned with our risk appetite. This is a hands-on role for someone who enjoys model development, statistical analysis, and underwriting judgment.