LSEG Unveils Model-as-a-Service to Power Secure Financial Analytics Marketplace

London Stock Exchange Group (LSEG) has launched a new offering called Model-as-a-Service (MaaS) — a secure, governed platform that allows financial institutions to host, distribute and analyse analytical models through a centralised marketplace. The announcement marks a strategic step in LSEG’s evolution as a provider of advanced financial infrastructure and analytics, enabling institutions to commercialise proprietary models and make them available alongside trusted LSEG datasets and tools.

As part of the launch, Société Générale, the major European banking group, has joined LSEG’s model marketplace, contributing seven of its flagship datasets and analytical models spanning fixed income, FX, ESG and equities. This initial partnership highlights the practical value of MaaS: bringing together best-in-class analytical capabilities into a unified, integrated experience that portfolio managers, risk teams and other market participants can access securely and at scale.

Integrated with LSEG’s existing technology stack and powered by Model Context Protocol (MCP) connectors — including compatibility with ecosystems like Microsoft Copilot Studio — the service aims to streamline how financial models and datasets are discovered, deployed and monetised.

Key Highlights

• Launch of Model-as-a-Service: LSEG unveils MaaS, a new model hosting, distribution and analytics marketplace.
• First major partner: Société Générale joins the platform with seven datasets and analytics covering key asset classes.
• Integrated experience: Clients access partner models and LSEG analytics via a single, secure interface.
• Powered by MCP: The Model Context Protocol enables direct integration into AI and analytics environments like Microsoft Copilot Studio.
• Commercialisation and scale: Institutional users can reduce infrastructure, compliance and go-to-market costs by sharing and discovering models.
• Asset coverage: Initial partner content spans Fixed Income, FX, ESG and Equities.

What Model-as-a-Service Offers

1. Secure, Governed Model Marketplace

MaaS creates a controlled ecosystem where financial models — including proprietary analytics from banks and data providers — can be published, accessed and consumed securely. This marketplace removes technical and regulatory friction that often slows model deployment, by establishing a central environment with governance, authentication and compliance built in.

2. Integrated Data and Analytics Experience

Rather than forcing clients to use disparate systems for analytics and data, MaaS merges partner-provided models with LSEG’s extensive datasets and analytics suite. This unified experience streamlines workflows for portfolio managers, risk teams and quantitative analysts who rely on rich financial inputs for decision-making.

3. AI-Ready Connectivity

The service’s use of MCP connectors — including support for platforms such as Microsoft Copilot Studio — allows models to be integrated directly into modern AI and analytics environments. This capability accelerates adoption by data scientists and quants who build, test and deploy models within AI-enhanced workflows.

Why This Matters for Financial Institutions

Faster Innovation & Deployment

Financial firms often build advanced proprietary models that are expensive to deploy and integrate across systems. MaaS provides a way to commercialise and scale models with minimal integration work, helping institutions accelerate innovation and broaden the reach of their analytics.

Cost & Efficiency Gains

By offering a marketplace that handles governance, compliance and secure access, LSEG reduces the need for each institution to build and maintain its own model distribution infrastructure — potentially lowering barriers to entry for smaller analytics teams and boutique quant firms.

Enhanced Collaboration & Value Creation

Partnering models with LSEG’s trusted data assets creates synergies that benefit both model providers and users. Banks like Société Générale can distribute their analytics more widely, while clients benefit from accessing a broader set of tools from a single point of access.

Industry and Market Context

The launch of MaaS comes amid growing demand for AI-driven analytics and model deployment solutions in the financial sector. Institutions increasingly require secure, scalable ways to operationalise advanced analytics — from pricing and risk models to ESG scoring — without exposing proprietary intellectual property or compromising compliance. LSEG’s initiative aligns with these needs and builds on broader trends where financial models, data and AI are converging into modular, interoperable services.