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

A-Team Insight Blogs

AFME Calls for Industry Collaboration to Advance Adoption of Public Cloud Computing in Capital Markets

Subscribe to our newsletter

The Association for Financial Markets in Europe (AFME) has published a paper setting out 14 recommendations to help realise the full potential of public cloud computing across the capital markets industry. The recommendations for banks, cloud providers, regulators, and the industry as a whole aim to increase the transparency and collaboration required to build further confidence, trust and capability in public cloud.

While the use of public cloud technology is expected to expand significantly across all areas of the capital markets value chain, with AFME members identifying the key benefits being greater business agility and innovation, improved cost management and efficiency, and enhanced client experience and service offerings, barriers remain. These are identified as legacy IT complexity, security implications, regulatory concerns, a lack of standardisation in cloud provider services, and long-term considerations on concentration risk.

Key use cases of public cloud identified in the paper include capacity bursting to support resource intensive processes, running sophisticated data analytics, supporting innovation projects, and improving resiliency through back up and archiving of data.

Given the benefits of, and barriers to, public cloud adoption, the paper reports that banks are still at an early stage of public cloud adoption. Over two-thirds of AFME members involved in discussions estimated that only 1-10% of their bank’s current workload is using some level of public cloud.

James Kemp, managing director, head of technology and operations at AFME, says: “The use of public cloud in financial services offers significant opportunities and benefits for all parties. However, to realise these and increase adoption it is vital that the whole industry continues to collaborate. This includes ensuring that knowledge, skills, security and risks are appropriately assessed and identified throughout this long-term transformation.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Navigating the Build vs Buy Dilemma: Cloud Strategies for Accelerating Quantitative Research

For many quantitative trading firms and asset managers, building a self-provisioned historical market data environment remains one of the most time-consuming and resource-intensive steps in establishing a new research capability. Sourcing data, normalising symbologies, handling corporate actions and maintaining infrastructure can take months and absorb significant budget before a single model is tested. At the...

BLOG

Is the Matching Engine Still the Heart of the Exchange?

A panel at the A-Team Group’s recent ExchangeTech Summit London, titled Setting the matching engine at the heart of the exchange tech ecosystem – Next gen architecture, microservices and cloud migration strategies, positioned the matching engine as the centre of gravity in modern venue architecture. The discussion that followed steadily pulled that centre of gravity...

EVENT

AI in Capital Markets Summit London

Now in its 3rd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.

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...