LSEG’s adds Open Risk Analytics to MaaS marketplace
11 May 2026 UK
Image: rinrada/stock.adobe.com
London Stock Exchange Group (LSEG) has announced that Open Risk Analytics, an offering within its Post Trade Solutions business, is now available via its Models-as-a-Service (MaaS) marketplace, expanding client access to quantitative risk models.
Delivered through LSEG’s Analytics API, LSEG says the hosted service enables firms to access risk analytics through various development tools, including Visual Studio Code and JupyterLab, AI-enabled workflows via open standards like Model Context Protocol (MCP), and LSEG AI partners, including Microsoft Copilot.
According to the organisation, the availability of Post Trade Solutions’ risk analytics through MaaS enables access to key risk calculations for banks, hedge funds, asset managers, and corporate treasuries.
The models cover major asset classes including interest rates, inflation, FX, equity, and commodities.
Aysegul Erdem, head of Modelling Solutions at LSEG, says: “This milestone brings our Post Trade Solutions’ Risk Analytics into LSEG MaaS as part of a broader vision to deliver multi-asset analytics at scale.
“By enabling portfolio-level calculations and embedding them into AI-driven workflows, we are helping clients rethink traditional risk processes, unlock greater automation, efficiency, and insight.
“Combined with LSEG’s analytics ecosystem, this creates powerful synergies for managing risk across enterprises”
Stuart Smith, director of Post Trade Solutions at LSEG, adds: “Risk analytics only create value when firms can operationalise them.
“Hosted delivery, curated market data and transparent models give clients a practical way to run portfolio-level risk calculations such as Value at Risk (VaR), understand their risks with stress scenarios and run exposure analytics at scale.”
Delivered through LSEG’s Analytics API, LSEG says the hosted service enables firms to access risk analytics through various development tools, including Visual Studio Code and JupyterLab, AI-enabled workflows via open standards like Model Context Protocol (MCP), and LSEG AI partners, including Microsoft Copilot.
According to the organisation, the availability of Post Trade Solutions’ risk analytics through MaaS enables access to key risk calculations for banks, hedge funds, asset managers, and corporate treasuries.
The models cover major asset classes including interest rates, inflation, FX, equity, and commodities.
Aysegul Erdem, head of Modelling Solutions at LSEG, says: “This milestone brings our Post Trade Solutions’ Risk Analytics into LSEG MaaS as part of a broader vision to deliver multi-asset analytics at scale.
“By enabling portfolio-level calculations and embedding them into AI-driven workflows, we are helping clients rethink traditional risk processes, unlock greater automation, efficiency, and insight.
“Combined with LSEG’s analytics ecosystem, this creates powerful synergies for managing risk across enterprises”
Stuart Smith, director of Post Trade Solutions at LSEG, adds: “Risk analytics only create value when firms can operationalise them.
“Hosted delivery, curated market data and transparent models give clients a practical way to run portfolio-level risk calculations such as Value at Risk (VaR), understand their risks with stress scenarios and run exposure analytics at scale.”
NO FEE, NO RISK
100% ON RETURNS If you invest in only one asset servicing news source this year, make sure it is your free subscription to Asset Servicing Times
100% ON RETURNS If you invest in only one asset servicing news source this year, make sure it is your free subscription to Asset Servicing Times
