Advanced Credit Risk Scoring Machine Learning Pipeline

Design a comprehensive machine learning data pipeline in Node.js that can automatically process, clean, and transform large-scale financial datasets for credit risk modeling. The system must support multiple data sources, implement feature engineering techniques, train and version machine learning models, and generate predictive risk scores with explainable AI components. Include robust data validation, automated model retraining schedules, and integration with existing banking systems.