Key Responsibilities: Develop and implement regulatory credit risk models (PD, LGD, EAD) using Python, Spark (Scala), and distributed systems in a Kubernetes-based Azure environment.Build scalable ML pipelines integrated with MLflow, CI/CD (Azure DevOps), and model governance frameworks.Create model explainability layers using tools such as SHAP, LIME, or custom counterfactual frameworks to support model governance and audit.Participate in the lifecycle of CECL and CCAR models, including data pr