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

A-Team Insight Blogs

Goldman Sachs Integrates Bloomberg Pricing and Reference Data for Digital Clients

Subscribe to our newsletter

Goldman Sachs will integrate Bloomberg’s Data License content with its own client-facing Marquee platform, making it the first global investment bank to use Bloomberg data for in-house applications offered to clients.

In 2018 Bloomberg expanded its Data License content (which sits within its Enterprise Data business) from 12,000 data fields to over 40,000 – building on the growing regulatory demand for consistent, accurate reference data.

Users of Marquee, Goldman Sachs’ digital storefront for institutional client services, will now be able to view Bloomberg reference and pricing data as part of the bank’s own suite of services and analytical tools, while clients who are also Bloomberg Data License clients will also be able to license and download this data directly.

“With increasing efficiency in trading, financial institutions are looking to use data and technology to offer their clients more compelling and efficient solutions,” says Gerard Francis, Global Head of Enterprise Data at Bloomberg. “By integrating Bloomberg’s market leading reference and pricing data with Marquee, clients will have a seamless data experience across the platform.”

Bloomberg and Goldman Sachs are also collaborating on a number of solutions, including a new analytics hosting service for algorithmic orders on FXGO.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The ROI of Data Trust: Quantifying the Business Value of Data Observability

Data is the fuel that keeps modern financial institutions’ motors running but if that data can’t be trusted then the decisions made based upon it, or the uses to which its put, will be compromised. That’s especially important for data that’s fed into artificial intelligence models. If the data isn’t clean, accurate and complete, then...

BLOG

MCPs in Data Management: A Fundamental Shift in Scaling AI

The breakneck development of artificial intelligence tools and applications is visible in the rapid emergence every six months or so of “the next big thing”. Generative AI was the big thing two years ago, agents were the big thing last year and this year it’s the turn of Model Context Protocols (MCPs). Attracting the “game...

EVENT

Data Management Summit London

Now in its 16th year, the Data Management Summit (DMS) in London brings together the European capital markets enterprise data management community, to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

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...