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

GoldenSource Releases New Datasets to Help Banks with Brexit Reporting Changes

Subscribe to our newsletter

Software and services provider GoldenSource last week announced the release of a series of new Brexit-specific datasets via its enterprise data management solution, to help banks prepare for differing regulatory demands in the wake of the UK’s expected departure from the EU on the 29th March 2019.

The firm implemented the move in response to the possibility that the UK could leave without a deal. If a political agreement isn’t struck, no new UK-related trade or transaction data would be received or processed by ESMA, while the FCA would have to stop sending data to ESMA, which could cause problems for financial institutions.

In the short-term, the platform will focus predominantly on supporting financial institutions with data segregation – making data for UK and EU available to send to the FCA and ESMA respectively. In the long-term, as the regulatory reporting requirements of the two regulators begin to diverge, the platform will allow banks to go into their UK dataset and make changes without affecting their European reporting commitments, and vice versa. This means that if the FCA was to issue new rules and thresholds, or tweak existing ones, financial institutions with branches in multiple jurisdictions could immediately comply with any new requirements.

“It’s no secret that the FCA and ESMA have contrasting outlooks when it comes to regulating financial markets,” says Volker Lainer, VP of Product Management and Regulatory Affairs at GoldenSource. “In the event of a no-deal or even a soft Brexit, regulatory reporting requirements will start to diverge, so firms need to get to grips with precisely what needs to be reported on to whom, and when. Only through a centralised data management platform can financial institutions ensure they’re not just avoiding both non-compliance and costly over-reporting after the initial grace period, but also prepare themselves for any future regulatory changes across other third-countries.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: GenAI and LLM case studies for Surveillance, Screening and Scanning

As Generative AI (GenAI) and Large Language Models (LLMs) move from pilot to production, compliance, surveillance, and screening functions are seeing tangible results – and new risks. From trade surveillance to adverse media screening to policy and regulatory scanning, GenAI and LLMs promise to tackle complexity and volume at a scale never seen before. But...

BLOG

Swap Data Was Supposed to Deliver Transparency. A Decade Later, Regulators Are Still Trying to Use It

For more than a decade, regulators have collected vast quantities of derivatives transaction data through swap data repositories (SDRs) mandated by post-crisis financial reforms. Yet despite the scale of these datasets, transforming reported trade data into meaningful supervisory insight has often proved more difficult than policymakers anticipated. A new Memorandum of Understanding (MOU) between the...

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

Regulatory Data Handbook 2014

Welcome to the inaugural edition of the A-Team Regulatory Data Handbook. We trust you’ll find this guide a useful addition to the resources at your disposal as you navigate the maze of emerging regulations that are making ever more strenuous reporting demands on financial institutions everywhere. In putting the Handbook together, our rationale has been...