Advanced Credit Risk Scoring Model with Machine Learning Integration

Develop a PostgreSQL-based credit risk scoring system that integrates traditional SQL analytical techniques with machine learning predictive modeling. Create a comprehensive data pipeline that preprocesses financial data, calculates complex risk factors, implements advanced feature engineering, and generates a probabilistic risk score. Include methods for handling feature importance, managing model drift, and providing interpretable risk assessments.