Case Study: Legal & General achieves enhanced liquidity risk monitoring and broader ERM analytics with SS&C Technologies' Algorithmics solution

Legal & General broadens the scope of Enterprise Risk Management and Solvency II analytics solution

Legal & General, a UK-based insurer with over £1.4 trillion of assets under management, needed to broaden its Enterprise Risk Management beyond Solvency II to improve liquidity risk monitoring — increasing transparency, accuracy, latency and interactivity for its ALM teams. To meet this challenge it partnered with SS&C Technologies, deploying SS&C Algorithmics for Insurance (including Algorithmics for Liquidity and the Workspace Analyzer) to extend its approved internal model across liquidity analytics and business reporting.

SS&C Technologies implemented a Monte Carlo-driven simulation and reporting solution (AWA) in a hybrid cloud, supported by daily curated market data and managed analytics services, enabling balance-sheet revaluations under millions of scenarios and interactive, self-service dashboards. The SS&C Technologies deployment delivered clearer, faster liquidity metrics, improved collateral and what‑if forecasting, reduced reliance on IT, and empowered business users to run autonomous analyses and adjust positions more promptly.

Legal & General

Rudi Damhuis

Risk Analytics and Asset Modeling Director