Machine Learning Credit Risk Scoring Microservice

Design a machine learning-powered API microservice using scikit-learn and Flask that generates dynamic credit risk scores for financial institutions. The service should accept comprehensive applicant data, process multiple feature sets including alternative credit data, and return probabilistic risk assessments. Implement model versioning, A/B testing capabilities for machine learning models, and secure model inference endpoints with advanced authentication mechanisms.