Credit Risk Predictive Modeling Automation

Design an advanced credit risk assessment automation that integrates multiple data sources, implements machine learning predictive models, and generates dynamic risk profiles. The system should support alternative credit scoring methodologies, handle both structured and unstructured data inputs, create probabilistic default prediction models, and generate explainable AI-driven risk assessments. Include continuous model retraining mechanisms.