Advanced Credit Risk Scoring Microservice

Develop a sophisticated TypeScript microservice for dynamic credit risk scoring using machine learning integration. Create a type-safe pipeline that can ingest multiple data sources (credit history, income, market conditions) with compile-time type validation. Implement a flexible scoring algorithm using generics that supports different risk models and provides immutable, auditable risk assessments. Include performance optimization techniques and demonstrate how TypeScript's type system can create a robust, extensible risk evaluation framework.