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

A-Team Insight Blogs

BarCap’s Data Quality Head Nagle to Join Deutsche Bank Later This Month

Subscribe to our newsletter

Current global head of data quality at Barclays Capital Llew Nagle is soon to depart for data pastures new, when he joins Deutsche Bank later this month in a similar role. Nagle has been with BarCap since 2001 and earlier this year was promoted to the brand new role of head of data quality.

Over the course of the year, Nagle has been heavily involved in the EDM Council’s data quality working group to establish a data quality framework and has been a speaker at events such as FIMA. This is in addition to his day job of global managing reference data change and data quality for the investment bank, alongside his 13 member global team. He has been responsible for creating the mandate, expertise and infrastructure for assessing, attesting and improving reference data quality at Barclays Capital, since his promotion in February.

Prior to this role, Nagle worked as a project manager within the global reference data team and oversaw the efforts to facilitate the Lehman integration, as well as the bank’s cash equity buildout and improvements to the STP account opening process. Prior to this he was European head of client data for BarCap for just over a year and associate director of equity product data for seven and a half years, during which time he managed the bank’s equity static and time series production databases.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Executing the Migration to Cloud to Enable Scalability and Innovation

Cloud-based services and processing have become essential to financial institutions as their data management demands have become more complex and expansive. Thousands of organisations have made the jump from their limited on-premises tech stacks to the near-infinite scalability opportunities of public and private clouds. They have also been motivated by the need to modernise their...

BLOG

12 Leading Providers of Semantic Layers in Modern Capital Markets Data Stacks

Reconciling fragmented financial data across disparate trading systems, risk engines and regulatory reporting pipelines is a challenge that frequently results in conflicting analytical outputs, costly reconciliation cycles, and elevated operational risk under frameworks like BCBS 239 and FRTB. The enterprise response has been a move away from continuous database consolidations towards centralised semantic layers. Positioned...

EVENT

AI in Data Management Summit New York City

Now in its second year, the AI in Data Management Summit NYC explores what changes when AI becomes part of the data management operating model.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...