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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