Aggregation at Scale and Millisecond VaR: Fast, Accurate, Explainable

Risk teams are being asked for more: intraday answers instead of EOD, credible backtesting and stress tests across long histories, and full drill-down to sensitivities and P&L vectors, with audit-ready explainability. The blocker has always been performance, forcing compromises on accuracy, speed, and transparency.

In this 30-minute webinar, see how Opense enables interactive risk metrics at full data granularity and history without shortcuts. We’ll share benchmarks that deliver the trifecta every risk team needs - accuracy, speed, and transparency - calculating hundreds of thousands of VaRs in seconds on AWS compute at under $3/hr.

What you’ll see:

• Benchmarks on long P&L histories with detailed sensitivities
• Interactive computation of risk metrics on full-history, full‑granularity data
• How explainability is maintained at every step
• Q&A on your specific use cases and environments

Key takeaways

• How to compute accurate, explainable risk metrics interactively on full-history data
• Why avoiding sampling/approximations improves decisions and governance
• Proof points on speed and scale for complex portfolios
• Practical paths to transparency for audit, controls, and stakeholder trust

Register here 👉