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

PRA Package of Regulatory and Data Strategy Change Planned for Completion by 2026

Subscribe to our newsletter

The Prudential Regulation Authority (PRA), which regulates and supervises financial services firms as part of the Bank of England, is planning to complete its RegTech and data integration strategy by 2026, bringing in a package of change including a new ‘look and feel’ to regulation, and refinements to what data is collected, how it is collected, and how it is used.

The work programme for change incorporates lessons learnt before Brexit and during the Covid-19 pandemic, and includes a major project dedicated to regulatory reporting.

Putting these plans in context, in 2021, the bank responded to its initial 2019 Future of Finance report with a focus on developing a world-class RegTech and data strategy. Since then and moving the strategy forward, a PRA review set the objectives of making the most of data and technology, modernising the bank’s strategy, and achieving a step change in its efficiency and effectiveness.

The strategy has three prongs – what data is collected, how it is collected, and how it is used. The guiding principles of data collection are to collect only data that is needed to support supervision. On how data is collected, the Transforming Data Collection initiative being overseen by the bank and the Financial Conduct Authority (FCA) is identifying new methods of data collection and how to get required data at the lowest cost to the industry. On data use, the aim is to make sure the bank uses all the data it collects well and achieve automated signal extraction to provide early warning of any potential market problems.

Projects supporting the use of data include dashboards for data visualisation using Tableau and Python, transforming authorisation to improve data ingestion and use, machine learning-based text analytics to read unstructured data, a data science project on neural networks, producing early warning indicators, and a digital skills programme to upskill employees and exploit data opportunities.

These projects are designed to ensure that, by 2026, regulatory reporting is complete timely and accurate, a customisable supervisor dashboard with a single view of data is available, and the bank has the ability to probe issues and potential risks.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Sponsored by FundGuard: NAV Resilience Under DORA, A Year of Lessons Learned

The EU’s Digital Operational Resilience Act (DORA) came into force a year ago, and is reshaping how asset managers, asset owners and fund service providers think about operational risk. While DORA’s focus is squarely on ICT resilience and third-party dependencies, its implications extend deep into core operational processes that are critical to market integrity, investor...

BLOG

When 1% Breaks the Fund: The Sanctions Contagion Facing ETF Issuers

Roy Kirby, Head of Core Products at SIX Group, has spent the past four years watching sanctions transform from episodic geopolitical tools into a structural feature of market risk. In sharing insights with RegTech Insight, he sets out how the acceleration and layering of sanctions since 2022 are reshaping compliance obligations for ETF issuers and,...

EVENT

RepRisk Sustainability Breakfast Roundtable London

The London sustainability breakfast is part of the global roundtable thought leadership event series hosted by RepRisk in key markets, including, New York, Toronto, London, Frankfurt, Oslo, Copenhagen, Stockholm, Hong Kong and Singapore in 2026.

GUIDE

Hosted/Managed Services

The on-site data management model is broken. Resources have been squeezed to breaking point. The industry needs a new operating model if it is truly to do more with less. Can hosted/managed services provide the answer? Can the marketplace really create and maintain a utility-based approach to reference data management? And if so, how can...