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

AFME Makes Recommendations for Open Finance Framework

Subscribe to our newsletter

The Association for Financial Markets in Europe (AFME) has underlined the importance of a level playing field for responsible data sharing and made recommendations for an Open Finance Framework ahead of the publication of the European Commission’s framework for data access in financial services that is due to be published in coming months.

EFMA shares its recommendations for open finance in a paper published today, ‘Open Finance and Data Sharing – Building Blocks for a Competitive, Innovative and Secure Framework’.

“Open finance in the EU’s data economy will transform the way banks share data with each other, and also with third-party providers such as fintech companies. For financial services this could mean that access to new, broader data sets could enhance the way banks operate and encourage innovation across sectors,” says Elise Soucie, associate director of technology and operations at AFME.

But she cautions: “With innovation comes potential for unintended consequences such as sharing data with participants in other sectors that may already have a dominant share of both individual and corporate data. This could lead to monopolies and the exploitation of data.”

AFME has identified four key principles to help address these risks and to support policy makers in the development of a robust open finance framework.

The principles cover:

  • A level playing field – data can only be shared across sectors if regulation consistently addresses risks and market players are regulated
  • Interoperability and an appropriate level of standardisation – any harmonisation would need to occur across EU Member States, while also being complementary to global frameworks
  • An appropriate framework for compensation – this would ensure fair allocation of costs across the data value chain and safeguard fair competition
  • Clear liability provisions – these would provide legal clarity with respect to the access, processing, sharing, and storage of data, and should be consistent with GDPR.

The paper follows AFME’s response this summer to the European Commission’s targeted consultation on ‘Open Finance and Data Sharing in the Financial Sector’.

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

AI Everywhere at A-Team Group’s RegTech Summit (NYC) 2025

Artificial intelligence was the recurring theme this year’s A-Team Group RegTech Summit in New York. Across conversations on AI governance, agentic workflows, crypto compliance, surveillance, AML transformation and regulatory reporting, a single theme cut through: AI is becoming embedded in the regulatory fabric of financial services, but its adoption must remain grounded, explainable, and anchored...

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 2019/2020 – Seventh Edition

Welcome to A-Team Group’s best read handbook, the Regulatory Data Handbook, which is now in its seventh edition and continues to grow in terms of the number of regulations covered, the detail of each regulation and the impact that all the rules and regulations will have on data and data management at your institution. This...