Automated Risk Assessment Pipeline for Investment Portfolios

Design a comprehensive workflow automation system that integrates real-time financial data sources (Bloomberg, Reuters, Yahoo Finance) to continuously assess portfolio risk. Create a multi-stage data pipeline that: 1) Aggregates market data, 2) Applies machine learning risk scoring algorithms, 3) Generates dynamic risk heat maps, 4) Triggers automated alert notifications when portfolio risk exceeds predefined thresholds. Include error handling, logging, and a scalable architecture that can process multiple portfolios simultaneously with less than 100ms latency.