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

A-Team Insight Blogs

Regulatory Equivalence: How Brexit Could Trigger Better Risk Exposure Modelling

Subscribe to our newsletter

By Volker Lainer, VP of Product Management, GoldenSource.

When it comes to the future relationship of EU/UK financial services, alignment has been touched on regularly by policy makers and the UK has begun a series of assessments for its post-Brexit vision for financial services. Either way, the EU has ruled out access unless the UK adopts all EU rules – both current and future – which the UK has in turn ruled out. If the latest rhetoric is anything to go by, full equivalence is unlikely and, although this will provide structural obstacles, this could be the catalyst that sparks better risk modelling.

Since the Brexit vote, announcements have trickled in about banks creating new offices in continental Europe. Initially, this redomiciling was more of a precautionary measure in case trade barriers suddenly manifested. So, currently, the UK and EU’s financial infrastructure are one and the same, with a large proportion of trading activity taking place in London. But at some point soon, trades will start flowing through Frankfurt, Paris or Luxembourg so firms face the reality of separating their UK/EU trading operations.

Although new continental entities have been created, they are not yet capable of executing all of the trading that still goes through London. As such, every organisation is going to have to suddenly create relationships with new counterparties because their new entities will have to begin taking on responsibility and ownership of new trading activity. It’s not something which can be picked up overnight. And, from an operational standpoint, there are some distinct obstacles. For example, these new entities will require settlement instructions and have all of the operational data attached to allow it to do business.

Fundamentally, now things are more “certain”, it’s becoming clear that banks have been waiting for the dust to settle and most of them do not have a strategy in place to make these legal entities functional. Regional operations of banks are currently siloed and most banks have lots of different systems in place across all their legal entities. With so many different arms operating across different markets, the larger banks will now have a number of entities which are working with hundreds of different counterparties. To make matters worse, everyone else is doing this at the same time, meaning there are new parties popping up everywhere. It’s a very difficult process to manage and, assuming there is no extension to the transition period, all in a relatively short space of time.

This fragmented operational landscape means it’s next to impossible for firms to obtain a full oversight of their risk exposure – it comes right back to what caused the Lehman’s crisis. In the immediate aftermath nobody could figure out what their exposure was. How do you measure exposure when you do not have a single party view of all of your entities and what subsidiaries they are invested in? You can’t. Particularly when it comes to some of the more complex OTC contracts. Most firms cannot figure out who the ultimate parent is.

If an organisation does not have data modelling which can update all counterparty data across the whole business, there is no chance firms can unravel such an extensive web. Even if you manage to get all the risk modelling in place in one location, it can rapidly go out of date because firms are unlikely to have a system in place which ensures accuracy of all counterparty data across all locations at any one time, new and old Updates are not made centrally.

This complex landscape has been growing organically for years and firms have been putting off gaining a holistic understanding of all their counterparty risk for too long. Therefore, it’s possible that this may act as a catalyst which will push the industry towards better risk aggregation. Firms must introduce systems which can quickly and easily set up new entities in a consolidated way, which cannot be coordinated with a fractured infrastructure but only be done via a centralised platform.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The ROI of Data Trust: Quantifying the Business Value of Data Observability

Data is the fuel that keeps modern financial institutions’ motors running but if that data can’t be trusted then the decisions made based upon it, or the uses to which its put, will be compromised. That’s especially important for data that’s fed into artificial intelligence models. If the data isn’t clean, accurate and complete, then...

BLOG

CDOs Play Increasingly Vital Role in Driving and Safeguarding AI Transformation: DMS NYC Preview

Modern chief data officers (CDOs) – and, more recently, chief data and analytics officers (CDAOs) – have an unenviable task. They are the gatekeepers of their organisation’s chief asset; its digital information. In the age of artificial intelligence, the importance of their role has been elevated and made more complex as the risks posed by...

EVENT

ExchangeTech Summit London

A-Team Group, organisers of the TradingTech Summits, are pleased to announce the inaugural ExchangeTech Summit London on May 14th 2026. This dedicated forum brings together operators of exchanges, alternative execution venues and digital asset platforms with the ecosystem of vendors driving the future of matching engines, surveillance and market access.

GUIDE

Regulatory Data Handbook 2026 – Fourteenth Edition

Welcome to the fourteenth edition of A-Team Group’s Regulatory Data Handbook. Supervisors increasingly expect firms to demonstrate which rules apply, which data supports each obligation, who owns the control and how exceptions are identified and resolved. Policies and implementation programmes must now be supported by records that can withstand regulatory scrutiny. This edition examines material...