Wematch integrates Securities Finance Data with feed from S&P Global Market Intelligence
London, [Tuesday 27 January 2026] — Wematch.live, the globally regulated securities finance trading platform, today announced it is integrating securities lending data from S&P Global Market Intelligence into its database for the benefit of shared institutional clients.
The addition of S&P Global Market Intelligence’s data will enhance Wematch’s data-driven tools across the securities lending and repo lifecycle, supporting improved transparency, analytics and decision-making for market participants. The enriched dataset will underpin a range of use cases, including more effective SBL matching, enhanced securities lending dashboards, and improved collateral optimisation across post-trade and lifecycle management workflows.
By incorporating S&P Global Market Intelligence’s high-quality daily and intraday market data, Wematch is strengthening its ability to provide clients with a more complete and consistent view of securities finance activity, combining trading, data and post-trade capabilities within a single regulated environment.
Anne Taeib, CPO of Wematch, commented:
“We’re excited to enrich our platform with S&P Global Market Intelligence’s securities lending data for the benefit of our shared clients. This collaboration allows us to further strengthen the data foundations of our securities finance offering.”
The integration will be made available to clients once the data is fully implemented within the Wematch GUI, with rollout timed to coincide closely with production availability.
To learn more or to arrange a walk-through, please contact: David Culshaw.
About Wematch.live
Wematch.live is a leading fintech platform for securities finance, enabling market participants to optimise collateral and manage the full lifecycle of Total Return Swaps across a regulated, digital workflow. The platform connects trading and operations with automation, transparency and cross-product interoperability.
Securities finance is moving from fragmented workflows to integrated, intelligence-driven infrastruc
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