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

Two Unnamed Banks Sign up for UnaVista’s Trading Data and Sedol Masterfile Capabilities

Subscribe to our newsletter

Two unnamed banks have signed up this month for access to the London Stock Exchange’s upgraded web-based matching reconciliation and data integration service, UnaVista. One bank has opted to used the service for suspicious trading activity monitoring, whereas the other is looking to LSE’s Sedol Masterfile for securities reference data checking.

The service, which was upgraded in September last year, will be used by the first bank to build a central repository of trading data, from which it can generate a range of trading surveillance reports, including front running, insider dealing and restricted list reports.

The other bank, which LSE describes only as “European”, will use UnaVista to compare securities from global securities master files at the bank against the exchange’s Sedol Masterfile. LSE claims the service will enable the bank to run reference data reconciliations daily, weekly, monthly or as required.

Mark Husler, head of business development for data and software at LSE, adds: “Since UnaVista is a purely web-based system, we are able to offer new clients a low risk, quick installation process, providing reliable reference data without the need for any costly hardware installation.”

The migration of Sedol Masterfile onto the UnaVista platform was announced in September last year along with the launch of a new service for the central matching of post-trade data across prime brokers, executing brokers and hedge funds. As a result of the move, UnaVista is now used as the engine for allocating and maintaining Sedol codes rather than just as a supporting system.

The two main drivers for the migration were to extend Sedol’s database coverage into other asset classes and to provide customers with more technical solutions via which to access LSE’s data, explains Husler.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Streamlining trading and investment processes with data standards and identifiers

Financial institutions are integrating not only greater volumes of data for use across their organisation but also more varieties of data. As well, that data is being applied to more use cases than ever before, especially regulatory compliance and ESG integration. Due to this increased complexity of institutions’ data needs, however, information often arrives into...

BLOG

ISDA Finds GenAI Highly Accurate in Contracts Process but Stresses Need for Good Data

The International Swaps and Derivatives Association (ISDA) has found that a range of generative artificial intelligence models can achieve a very high level of accuracy in extracting and standardising contract details into digital form. The findings suggest that AI can be deployed to reduce time and resources as well as risks when processing data within...

EVENT

TradingTech Summit London

Now in its 15th year the TradingTech Summit London brings together the European trading technology capital markets industry and examines the latest changes and innovations in trading technology and explores how technology is being deployed to create an edge in sell side and buy side capital markets financial institutions.

GUIDE

AI in Capital Markets: Practical Insight for a Transforming Industry – Free Handbook

AI is no longer on the horizon – it’s embedded in the infrastructure of modern capital markets. But separating real impact from inflated promises requires a grounded, practical understanding. The AI in Capital Markets Handbook 2025 provides exactly that. Designed for data-driven professionals across the trade life-cycle, compliance, infrastructure, and strategy, this handbook goes beyond...