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: How to automate entity data management and due diligence to ensure efficiency, accuracy and compliance

Requesting, gathering, analysing and monitoring customer, vendor and partner entity data is time consuming, and often a tedious manual process. This can slow down customer relationships and expose financial institutions to risk from inaccurate, incomplete or outdated data – but there are solutions to these problems. This webinar will consider the challenges of sourcing and...

BLOG

Snowflake Partnership Offers Access to Mistral AI Large Language Models

Snowflake has made a global partnership with Mistral AI, a provider of AI Large Language Model (LLM) solutions. The multi-year partnership, which includes a parallel investment in Mistral’s Series A from Snowflake Ventures, will give Snowflake customers access to Mistral AI’s newest and most powerful LLM, Mistral Large, which includes reasoning capacities, is proficient in...

EVENT

TradingTech Briefing New York

Our TradingTech Briefing in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.

GUIDE

Regulatory Data Handbook 2023 – Eleventh Edition

Welcome to the eleventh edition of A-Team Group’s Regulatory Data Handbook, a popular publication that covers new regulations in capital markets, tracks regulatory change, and provides advice on the data, data management and implementation requirements of more than 30 regulations across UK, European, US and Asia-Pacific capital markets. This edition of the handbook includes new...