Predictive Credit Default Probability Engine

Build a sophisticated machine learning-powered database for predicting credit default probabilities using a combination of time-series analysis and ensemble learning techniques. Design a Node.js microservice that can integrate multiple data sources, implement advanced feature engineering, and generate real-time credit risk assessments. Support model explainability and provide confidence intervals for predictions.