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

A-Team Insight Blogs

The Data Management Response to a Volatile Regulatory Landscape

Subscribe to our newsletter

The data management response to a regulatory landscape that is volatile and uncertain should be strategic, agile and future proof. It should also consider technology options including cloud, machine learning and blockchain.

The need for a strategic approach to regulation at a time when US President Trump intends to repeal some financial legislation and the UK starts the process of leaving the European Union, was discussed during a panel session at last week’s A-Team Group Data Management Summit in London. The panel was moderated by regulatory financial specialist Selwyn Blair-Ford and joined by James Phillips, global head of regulatory strategy at Lombard Risk; Peter O’Keefe, an independent data management expert; Brian Sentance, CEO at Xenomorph; and Alessandro Sanos, market development manager, risk and enterprise Europe, at Thomson Reuters.

The speakers agreed that the response to today’s regulatory landscape must be a strategic and agile approach that reengineers existing systems and data silos to deliver data management infrastructure that is responsive to change, and takes a holistic rather than one-off view of regulations. Phillips commented: “As regulators drive towards more granular reporting, the need will be for a unified data model that includes good quality data and is always on and ready for reporting.”

O’Keefe favoured standards as a response to the regulatory burden, saying: “We are becoming victims of prescriptive regulations, which means getting to common standards would make sense.” He also noted the considerable time it takes to purchase and implement regtech solutions, suggesting the creation of a common infrastructure and collective investment in systems would strip away the barriers to entry, particularly the long time to purchase, for regtech start-ups.

Turning to the question of which regulations will have the biggest impact on data management going forward, Sentance said the Fundamental Review of the Trading Book (FRTB), O’Keefe named General Data Protection Regulation (GDPR), and Phillips noted AnaCredit.

If you would like to find out how US firms are tackling regulatory challenges in uncertain times, join A-Team’s New York City Data Management Summit on 4th April, where a panel moderated by independent consultant David Blaszkowsky, and joined by Tim Lind, principal at RTech Advisors; Roger Fahy, vice president and chief operating officer at CUSIP Global Services; and Mike Smith, head of data strategy, governance and privacy at Citi USCCM, will discuss the data management response to regulation.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Executing the Migration to Cloud to Enable Scalability and Innovation

Date: 22 September 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Cloud-based services and processing have become essential to financial institutions as their data management demands have become more complex and expansive. Thousands of organisations have made the jump from their limited on-premises tech stacks to the near-infinite scalability opportunities...

BLOG

Most City Mega Mergers Test Tech More Than Balance Sheets

By Gus Sekhon, head of product, FINBOURNE Technology. The City loves nothing more than a takeover tale as old as time. A US$2.5tn US asset management behemoth snapping up one of London’s most historic investment houses for £10bn sounds like a story of global ambition and deep pockets. The Schroders brand stays, the headquarters remains...

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 Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...