Synergy by AccessFintech, the network solution driven by data and intelligence, has been successfully integrated with S&P Global Market Intelligence’s Securities post-trade processing platform to enhance settlement management for clients by automating and standardising securities processing across the trade and settlement lifecycle.

This integration delivers fail-reduction, trade compression, penalty management, and streamlines the process of Standard Settlement Instructions (SSI) by joining clients with network adopters to address settlement failures through a web of seamless counterparty connectivity.

S&P Global Market Intelligence’s Securities Processing solutions enable clients to reshape their technologies and processes, empowering them with a distinct competitive advantage to better position themselves in the marketplace. This seamless integration means clients can transition from managing multiple applications and isolated processes to one unified cloud platform and an integrated post-trade framework with the ability to predict and resolve settlement failures.

Synergy by AccessFintech, the multi-asset data network has successfully brought together over 250 Buy-Side, Sell-Side, Asset Servicers, and OMS platforms for real-time data collaboration. With a focus on efficiency and innovation across asset classes, Synergy leverages AI-driven insights and a cloud-native infrastructure to normalise data, generate actionable insights, and resolve exceptions in real time through collaborative engagement. Synergy supports the entire post-trade lifecycle, from pre-matching to settlement, to aid in fail minimization, CSDR eligibility determination, buy-in, and penalty calculation. As a result, stakeholders benefit from increased efficiency and clear, actionable insights, ultimately speeding up resolution times.

The US, with its volume-heavy markets, shifted to a T+1 settlement regime in 2024, and the UK and EU have signalled a potential move to T+1 as early as 2027. Accelerating settlement is likely to involve changing operational processes and upgrading technology, as well as making possible adjustments to staffing. These cycles will place further strains on operations teams within financial institutions globally. Teams already grapple with a substantial 5% of exceptions that require manual intervention, alongside navigating diverse regulatory requirements, notably the CSDR regime in Europe.

Matt Digby, Head of Partnerships at AccessFintech: “Our clients are actively looking for data interoperability, leveraging technology to improve efficiency, simplify workflows, and increase collaboration across and between organisations. Through this collaboration, S&P Global Market Intelligence and AccessFintech are providing industry-leading advances in the post-trade process. Having a data and workflow normalisation and collaboration strategy is critical, particularly as the industry adapts to CSDR regulation and the move to T+1 settlement.”

Media enquiries

Eterna Partners for AccessFintech

[email protected]

+44 7442 230 170

About Synergy by AccessFintech

Synergy by AccessFintech is a network driven by data and intelligence that transforms post-trade collaboration. Connecting the global capital markets ecosystem, Synergy integrates buy-side, sell-side, order management systems, and vendors. With over 75% of global market trade volume flowing through the platform, Synergy supports a growing network of over 250 active members. The platform facilitates real-time data transformation across a wide range of asset classes, including securities, derivatives, alternatives, and payments. Built on modern, cloud-native architecture with an API-first approach, Synergy is designed for scalability and flexibility, offering seamless integration with existing technologies. By leveraging AI-driven insights, Synergy improves operational efficiency, resolves exceptions faster, and reduces manual intervention, driving innovation and value across the financial ecosystem. For further information please go to accessfintech.com or follow us on LinkedIn