Build a cross-asset risk data model in 10 minutes

In this webinar, our experts guide you through a comprehensive and practical demonstration of how to:

  • Get from fragmented data sets to a unified data model reconciling risk categories 
  • Quickly code and deploy a VaR calculator 
  • Use data model and calculator for mining and explainability

Key highlights:

  • Step-by-step creation of a complex data model using Python Jupyter Notebook.
  • Interactive dashboards to build and customize visualizations to explore risk and P&L data dynamically.
  • Drill-downs on the fly, switching dimensions, and recalibrating quantile calculations in real-time, showcasing the platform’s robust explainability features.

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