Machine Learning Risk Assessment Automation Pipeline

Create a Python-based machine learning pipeline using scikit-learn and TensorFlow that automates credit risk assessment for banking loan applications. Requirements include: 1) Ingesting structured financial data from multiple sources, 2) Implementing ensemble learning models for risk prediction, 3) Generating real-time risk scores with explainable AI techniques, 4) Automated model retraining using scheduled jobs, and 5) Producing comprehensive compliance documentation for each risk assessment.