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

A-Team Insight Briefs

Bloomberg Adds Credit Benchmark Data

Subscribe to our newsletter

Bloomberg will make Credit Benchmark’s credit risk data, derived from risk views of large financial institutions, available on the Bloomberg Terminal and to license for enterprise use cases. The anonymised consensus data adds to existing credit risk datasets and risk indicators, providing complementary content to help market participants assess the credit quality or risk of default of a counterparty, company or entity, all integrated within their existing workflows. Credit Benchmark data can help support risk management, loan and debt underwriting, portfolio optimisation, supply chain risk management, investment idea generation, and is a means of assessing ongoing credit quality.

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

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

Digital Assets & Tokenisation Briefing, New York

A-Team Group’s Digital Assets & Tokenisation Briefing assembles an exclusive group of CxOs and senior technology innovators. These leading market practitioners and infrastructure providers are collectively building the digital rails and decentralised networks that will power Wall Street 2.0.

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...