About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

London Stock Exchange Picks Volante Designer for Swift Message Integration into UnaVista

Subscribe to our newsletter

The London Stock Exchange (LSE) has selected Volante Designer for the integration of Swift messaging into its UnaVista engine. According to Mark Husler, head of business development for UnaVista, the integration of Volante will enable LSE to automate the processing of Swift message standards and thus reduce project implementation timescales and associated costs.

LSE moved its centralised reference and financial data management solution, Sedol Masterfile, onto UnaVista in September last year and it has since been engaged in developing further enhancements to the global matching, reconciliation, data integration and validation platform. Accordingly, this deal with Volante will enable UnaVista customers to transmit transaction data to UnaVista in Swift messages for matching, reconciliation and other data management services.

Husler explains the benefits for LSE and its customers: “Data transmission through Swift messaging is an important option for our customers and will enable more firms to participate in UnaVista. Typical UnaVista client requirements include the processing of Swift messages such as MT940/950 for cash and stock reconciliations and MT515 messages for trade confirmation matching. The integration of Volante enables us to automate the processing of these types of message standards, which helps to reduce project implementation timescales and the associated costs.”

The exchange selected Volante following an evaluation of several integration vendors, because is was looking for a solution with out of the box support for Swift and other types of messaging standards with no need to change its system architecture or add new infrastructure, adds Husler.

“We believe that this will make an important contribution to both our post-trade matching utility and our cash and stock reconciliation solutions. As a web-based, exchange hosted solution, which eliminates the need to install expensive hardware and infrastructure, flexibility remains one of the UnaVista’s competitive advantages, and one which we are always looking to develop further,” he continues.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Unpacking Stablecoin Challenges for Financial Institutions

The stablecoin market is experiencing unprecedented growth, driven by emerging regulatory clarity, technological maturity, and rising global demand for a faster, more secure financial infrastructure. But with opportunity comes complexity, and a host of challenges that financial institutions need to address before they can unlock the promise of a more streamlined financial transaction ecosystem. These...

BLOG

The Year in Data: 2025’s Biggest Trends and Developments

The past 12 months saw breakneck developments in how firms applied artificial intelligence. AI began to change from a mere tool to an integral part of capital markets operations. The year also saw data services providers launch multiple products for the growing private markets investment sector. Data Management Insight spoke to leaders in our industry...

EVENT

AI in Capital Markets Summit London

Now in its 3rd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.

GUIDE

Regulatory Data Handbook 2025 – Thirteenth Edition

Welcome to the thirteenth edition of A-Team Group’s Regulatory Data Handbook, a unique and practical guide to capital markets regulation, regulatory change, and the data and data management requirements of compliance across Europe, the UK, US and Asia-Pacific. This year’s edition lands at a moment of accelerating regulatory divergence and intensifying data focused supervision. Inside,...