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

UBS Leads Initiative to Reconcile LEI Data Using Ethereum Smart Contracts

Subscribe to our newsletter

A group of six banks and data vendors is working with Ethereum smart contracts to improve the quality of counterparty reference data through anonymous reconciliation. The blockchain initiative was borne out of the need to improve data quality for Markets in Financial Instruments Directive II (MiFID II) and Markets in Financial Instruments Regulation (MiFIR), and a pilot project is underway and due to be complete by the end of January 2018.

The project was initiated by UBS in its innovation and has been joined by Barclays, Credit Suisse, KBC, SIX and Thomson Reuters. Its intent is to reconcile the reference data of Legal Entity Identifiers (LEI) mandated for use under MiFID II and MiFIR, and streamline the LEI process for all participants.

Christophe Tummers, head of data at UBS, explains: “Traditionally, a firm such as ours quality checks data against multiple sources, but we do not have a quality baseline against peers. By using blockchain inspired smart contracts, the reconciliation of data can happen in almost real-time for all participants, anonymously.”

The Ethereum solution takes specific reference data for each legal entity and cryptographically conceals it at each institution using a process called hashing. The source data is held and remains within the participating institution. Only the hashed data is submitted, anonymously, to an Ethereum private blockchain powered by Microsoft Azure. The Ethereum smart contracts then reconcile the data against the consensus and provide each participant, via a user interface, the ability to search and view their own specific data in real-time. A user can then see where the anomalies lie in the data set and work to resolve those.

Robert Jeanbart, division CEO at SIX Financial Information, says: “MiFID II creates complex data management challenges for businesses. This initiative presents a unique opportunity for firms to benchmark content alongside their peers before it is used in regulatory reporting.”

Mark Davies, global head of RMS Data Services at Thomson Reuters, says: “This is a collaborative project that uses the latest blockchain technology to solve a real-world business challenge by improving the quality of counterparty reference data.” Emmanuel Aidoo, head of blockchain strategy at Credit Suisse, adds: “This is an important project as it establishes blockchain benefits in a broader context than clearing and settlement. The use of blockchain to solve regulatory requirements in a cost-effective way is very appealing.”

The project is a pilot phase in a mock-live environment using 22,000 non-sensitive LEI reference attributes for cash equity issuers. It is due to complete by the end of January 2018, with further, staged rollout dependent on the findings.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Best approaches for trade and transaction reporting

11 September 2025 10:00am ET | 3:00pm London | 4:00pm CET Duration: 50 Minutes Compliance practitioners and technology leaders in capital markets face mounting pressure to ensure that reporting processes are efficient, accurate, and aligned with global standards. Market developments and jurisdictional nuances in regulatory frameworks like MiFID II, EMIR, SFTR and MAS create a...

BLOG

Rethinking Regulatory Reporting with Regnology

In a financial services industry that moves millions in milliseconds, it’s sobering to realize that the regulatory reporting processes underpinning these markets remain stuck in the past. Despite advances in technology and regulatory data management, regulatory reporting operates primarily on what Maciej Piechocki, Chief Revenue Officer at RegTech and SupTech provider Regnology, calls “digitalized paper.”...

EVENT

AI in Capital Markets Summit London

The AI in Capital Markets Summit will explore current and emerging trends in AI, the potential of Generative AI and LLMs and how AI can be applied for efficiencies and business value across a number of use cases, in the front and back office of financial institutions. The agenda will explore the risks and challenges of adopting AI and the foundational technologies and data management capabilities that underpin successful deployment.

GUIDE

AI in Capital Markets: Practical Insight for a Transforming Industry – Free Handbook

AI is no longer on the horizon – it’s embedded in the infrastructure of modern capital markets. But separating real impact from inflated promises requires a grounded, practical understanding. The AI in Capital Markets Handbook 2025 provides exactly that. Designed for data-driven professionals across the trade life-cycle, compliance, infrastructure, and strategy, this handbook goes beyond...