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

Bloomberg LOU Accreditation Adds to Open Symbology Strategy

Subscribe to our newsletter

Bloomberg’s accreditation as a Local Operating Unit (LOU) that can issue Legal Entity Identifiers (LEIs) as prescribed by the Global LEI Foundation (GLEIF) is bang on strategy for the company as it continues to promote open symbology and push its Financial Instrument Global Identifier (FIGI) towards ISO standardisation. Following the company’s accreditation as an LOU earlier this month, we caught up with Steve Meizanis, head of entity content management at Bloomberg, to see what this will mean for the company and its clients.

Meizanis says the LOU accreditation process took towards a year, with entities now being able to apply for LEIs from the Bloomberg LOU website, lei.bloomberg.com, the company’s Entity Exchange platform, which supports the exchange of data and documents related to trading accounts, and from the Bloomberg terminal using LEI.

Commenting on the company’s LEI offer, Meizanis says: “We offer a competitive cost structure for LEIs, which compares favourably to other issuers, and have excellent quality controls in place to authenticate and verify entity data. Our clients can make their workflows more efficient as they can apply for LEIs from the Bloomberg platform. We can also help them get LEIs for their counterparties, which provides more efficiencies. We can help firms that are not Blomberg clients to map LEIs to their systems.”

In terms of strategy, LOU accreditation fits well into Blomberg’s commitment to open standards such as the LEI and the FIGI, which is based on the company’s open symbology and is, in essence, a renamed BBGID Bloomberg identifier.

Meizanis says LOU accreditation is an extension of what Bloomberg already does and is in line with the company’s perspective that open source entity identifiers should be free. The company is pushing the FIGI through the ISO standardisation process with support from the Object Management Group, leading Meizanis to suggest that it could ultimately complement the ISIN instrument standard. 

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: How to simplify and modernize data architecture to unleash data value and innovation

The data needs of financial institutions are growing at pace as new formats and greater volumes of information are integrated into their systems. With this has come greater complexity in managing and governing that data, amplifying pain points along data pipelines. In response, innovative new streamlined and flexible architectures have emerged that can absorb and...

BLOG

Regulatory Volatility Offers Opportunity to Mine Value from Compliance Data

A new era of regulatory change is presenting institutions with a golden opportunity to prosper from the troves of data they need to comply with reporting obligations. Information required by market overseers has value that goes beyond its obligatory use in disclosures and companies that put it to wider use stand to gain a competitive...

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

Regulatory Data Handbook 2025 – Thirteenth Edition

Welcome to the thirteenth edition of A-Team Group’s Regulatory Data Handbook, a unique and practical guide to capital markets regulation, regulatory change, and the data and data management requirements of compliance across Europe, the UK, US and Asia-Pacific. This year’s edition lands at a moment of accelerating regulatory divergence and intensifying data focused supervision. Inside,...