London Stock Exchange Group has expanded its Models-as-a-Service marketplace to include Open Risk Analytics, a hosted offering from its Post Trade Sol
London Stock Exchange Group has expanded its Models-as-a-Service marketplace to include Open Risk Analytics, a hosted offering from its Post Trade Solutions business that gives financial institutions scalable access to quantitative risk models across multiple asset classes.
Delivered through LSEG’s Analytics API, the service is accessible via a range of development tools, including Visual Studio Code and JupyterLab, and integrates with AI-enabled workflows through open standards such as Model Context Protocol.
It is also said to be compatible with LSEG’s AI partners, including Microsoft Copilot.
The offering covers major asset classes, including interest rates, inflation, foreign exchange, equity, and commodities, and supports calculations including Value at Risk, P&L Explain, stress testing, sensitivity analysis, Credit Valuation Adjustment, and Potential Future Exposure.
LSEG noted that it is designed to serve banks, hedge funds, asset managers, and corporate treasuries.
Aysegul Erdem, Head of Modelling Solutions at LSEG, said the expansion forms part of a broader vision to deliver multi-asset analytics at scale, helping clients rethink traditional risk processes and unlock greater automation and insight by embedding portfolio-level calculations into AI-driven workflows.
Stuart Smith, Director of Post Trade Solutions at LSEG, said risk analytics only create value when firms can operationalise them, adding that hosted delivery, curated market data, and transparent models provide a practical route to running portfolio-level risk calculations at scale.
The deployment broadens access to capabilities currently serving a community of more than 3,000 firms across margin, collateral, and OTC derivatives workflows.
SOURCE LINK : LSEG Brings Risk Analytics to AI-Enabled Workflows via Models-as-a-Service Expansion | LeapRate