Advanced Fraud Detection and Anomaly Recognition System

Design a comprehensive fraud detection framework using Python that combines multiple machine learning techniques for anomaly recognition. Implement advanced feature engineering, ensemble machine learning models, and real-time scoring systems. Create a modular architecture that supports multiple data sources, provides explainable AI insights, and generates detailed fraud risk reports with actionable recommendations.