Advanced Credit Risk Predictive Modeling Framework

Develop a sophisticated SQL-based predictive credit risk modeling system that integrates machine learning feature engineering with statistical probability calculations. Create a modular approach using window functions and recursive CTEs to generate complex risk scoring models that adapt to changing economic conditions. Implement a feature extraction pipeline that can handle both structured financial data and semi-structured alternative credit signals.