Accelerate Monte Carlo senarios analysis with dynamic workload prioritization
<img src=“/resources/usecase-legal-and-general-risk-analysis/images/legal-and-general.png” alt=“Legal and General Logo” class=‘img-fluid grid-img-w150px’
2.5 million Monte Carlo scenarios
From 18h to 2h compute time
4000 Azure cores
Legal & General, a leading multinational finance and insurance company headquarted in London, has transformed its on-premise financial algorithms and Solvency II simulations, migrating them from IBM AlgoBatch and Tibco Datasynapse towards a distributed solution from Activeeon - ProActive Workflows & Scheduling - and Microsoft Azure cloud. ProActive Workflows & Scheduling allows you to easily execute all your company jobs and business applications, monitor activity and quickly access job results. Allowing your IT to scale up and down according to your actual workload, it will ensure the optimal match between disponibilty and cost.
“Now, thanks to ProActive and additional optimizations we made along the way with Azure, the batch time which previously was taking us 18 hours, is now down to 5 hours, and by the end of the year, my hope and expectation is to go definitely below 4 hours and possibly less by having more grid hosts and more capacity.”
Lead integration engineer at Legal and General