Fraud Detection Microservice with Machine Learning Integration

Build a sophisticated TypeScript microservice for real-time financial fraud detection using TensorFlow.js and advanced type definitions. Create a flexible architecture that can integrate multiple machine learning models with strongly-typed interfaces for transaction analysis. Implement an event-driven system that can automatically flag suspicious transactions, generate risk scores, and trigger multi-stage verification processes. Ensure type safety across complex machine learning model interactions and financial transaction schemas.