LSEG launches Model-as-a-Service to revolutionise financial analytics access

London Stock Exchange Group is rolling out a set of data and model-distribution capabilities designed to make advanced analytics and AI-ready content more accessible and commercially usable across major banks and asset managers, according to LSEG announcements and company statements.

At the centre of the programme is a new Model-as-a-Service offering that creates a governed marketplace where institutions can host, share and consume analytical models and datasets without building bespoke integration layers. According to LSEG, Societe Generale is the first third-party provider to join the marketplace, contributing seven signature datasets and analytics spanning fixed income, FX, ESG and equities. LSEG said the arrangement removes many of the technical and compliance hurdles that typically slow deployment for portfolio managers, risk teams and other market users.

The MaaS capability is built to plug directly into customers’ AI environments by using Model Context Protocol connectors developed as part of LSEG’s long-standing collaboration with Microsoft, the company said. That integration path includes support for Microsoft Copilot Studio and other cloud-hosted tooling, enabling partners to embed models into existing workflows while offloading infrastructure, entitlements and go-to-market complexity to the platform.

LSEG framed the move as an effort to foster a wider ecosystem of interoperable modelling, with Aysegul Erdem, Head of Modelling Solutions at LSEG, saying the service combines partner models with LSEG’s global infrastructure to accelerate financial modelling across the industry, according to the firm’s media material.

The MaaS launch sits alongside a series of multi-year commercial ties with global banks that illustrate how LSEG intends to marry its data assets, analytics and governance tooling with large institutional clients. On February 17, LSEG announced a strategic partnership with Bank of America to embed LSEG’s data, analytics and workflow products into the bank’s client-facing and internal systems. The collaboration will make AI-ready content and LSEG’s World-Check risk intelligence available across Bank of America’s advisory, trading, risk and compliance processes, the two parties said.

Separately, LSEG has agreed a multi-year collaboration with Standard Chartered to deliver enterprise-scale access to multi-asset class data, news and analytics. According to Standard Chartered and LSEG statements, the work aims to simplify market-data delivery via feeds, APIs and cloud channels, improve catalogue and lineage transparency, and streamline governance and entitlements so that front-to-back workflows in markets, risk, finance and wealth management can operate from a single, rights-managed pathway. Mark Price, Chief Operating Officer for Corporate & Investment Banking at Standard Chartered, said the partnership creates a governed route to premium content that accelerates client outcomes while strengthening controls and regulatory alignment, according to the bank’s release.

LSEG emphasises that these agreements are not merely commercial distribution deals but part of a broader strategy to embed governed, actionable intelligence into enterprise workflows. Gianluca Biagini, Group Co-Head of Data & Analytics at LSEG, described transparent usage rights and broad coverage as foundations for both near-term efficiency gains and longer-term innovation at partner banks, according to LSEG’s communications.

The firm’s work with Microsoft underpins much of this strategy. LSEG’s description of the partnership with Microsoft frames it as an effort to deliver AI-ready data, analytics and cloud architecture that can be hosted within Microsoft Azure and integrated with customers’ agentic AI and productivity tooling. LSEG and Microsoft have previously highlighted responsible, secure access to licensed financial data as a priority for deploying AI in customer workflows.

Industry observers note two implications. First, by providing a centrally governed marketplace for models and licensed content, the proposition could lower the barrier for banks and asset managers to monetise analytics and accelerate internal adoption of AI-driven workflows. Second, concentrating model distribution and rights management within platform providers raises questions about vendor concentration and control over intellectual property and usage rights, an area where clear cataloguing and lineage will be essential, industry analysts say.

LSEG presented these initiatives as part of a push to position itself at the intersection of data provision, governance and AI-enabled workflow automation. The combined effect of MaaS and the bank partnerships is intended to strengthen operational resilience, simplify compliance and create new commercial pathways for analytics vendors and data owners to reach enterprise customers, according to the company.