Risk Analytics

A global markets firm needed faster visibility into credit and market exposures. Risk teams were stuck waiting hours for batch results, quants feared ripping out their C++ models, and technology leaders knew the next market shock would expose the cracks. cloudlogic.dev partnered with the quant and data engineering teams to rebuild the risk pipeline on Apache Beam and Google Cloud Dataflow, enabling near-real-time analytics while keeping legacy quant libraries in play. ...

Risk analytics in capital markets has traditionally been a batch operation. Run the VaR calculation overnight, get results in the morning, and hope the market does not move during the gap. That model broke down during the 2020 volatility events, when firms discovered that their risk teams were making decisions on data that was hours old. We rebuilt the risk analytics pipeline for a global markets firm using Apache Beam and Google Cloud Dataflow. The result: intraday VaR windows dropped from 3 hours to 14 minutes, and new data feeds were onboarded in 3 weeks instead of 10. Here is how we did it. ...