LSEG Launches Open Risk Analytics on Models-as-a-Service Platform

London Stock Exchange Group has announced the availability of its Open Risk Analytics suite through its Models-as-a-Service marketplace. This move expands client access to quantitative risk models from its Post Trade Solutions division.

The hosted service, delivered via LSEG's Analytics API, allows firms to utilize risk analytics through development tools like Visual Studio Code and JupyterLab. It integrates AI-enabled workflows using open standards such as Model Context Protocol and partnerships with AI providers including Microsoft Copilot.

This offering provides key risk calculations for banks, hedge funds, asset managers, and corporate treasuries. The models cover major asset classes including rates, inflation, FX, equities, and commodities. They support calculations for P&L Explain, stress testing, sensitivity analysis, cashflows, Historical VaR, Potential Future Exposure, and Credit Valuation Adjustment.

Aysegul Erdem, Head of Modelling Solutions at LSEG, stated that this milestone is part of a vision to deliver multi-asset analytics at scale. Embedding portfolio-level calculations into AI-driven workflows helps clients rethink traditional processes for greater automation and insight.

Stuart Smith, Director of Post Trade Solutions, noted that risk analytics create value when firms can operationalize them. Hosted delivery with curated data offers a practical way to run portfolio-level calculations like Value at Risk and large-scale exposure analytics.

The models will support daily workflows for risk, treasury, compliance, and portfolio teams. Key supported functions include Value at Risk with preconfigured historical data, Credit Valuation Adjustment for counterparty exposure, P&L Explain for attribution, and Stress Testing for portfolio resilience.

This deployment broadens access to LSEG's Post Trade capabilities, which standardize margin and collateral workflows for over 3,000 firms. It provides a single source for trade data, helps standardize portfolios centrally, and supports the optimization of counterparty risk, margin, and capital. The tools also offer real-time views of trade exposures to help manage OTC derivatives workflow complexity.