We built a streaming data pipeline that ingests market feeds, portfolio positions, and macroeconomic indicators in real time using Apache Kafka and PostgreSQL. A Python-based ML layer generates 24-hour and 7-day risk forecasts using gradient-boosted models calibrated on 5 years of historical data.
The executive dashboard — built in Tableau with custom extensions — surfaces alerts, scenario analysis tools, and drill-down views for individual positions. Role-based access ensures each stakeholder sees exactly what they need.
We also delivered an automated morning briefing emailed to the leadership team at 7am, summarising overnight market moves and portfolio exposure changes.