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

A-Team Insight Blogs

Swift Shifts Reference Data Strategy Personnel

Subscribe to our newsletter

Swift has made some changes to the personnel handling its reference data strategy. The co-operative has appointed Paolo Bernini head of information products of which reference data is an important component, it says. Peter O’Keefe meanwhile has moved from product management to markets, with responsibility for defining Swift’s reference data strategy – with a particular focus on securities pre-settlement.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: The Data Office at a Crossroads — AI Governance, Organisational Design, and the Evolving Mandate of the CDO

Who owns AI governance in a capital markets firm – and is the Data Office structured to bear that weight? These questions sit at the heart of A-Team Research’s latest findings, presented here for the first time: the combined results of two landmark surveys examining the role of the Data Office in AI governance and...

BLOG

Reconciliation No Longer Has Time On Its Side as T+1 Approaches

By John Bevil, senior product manager at Xceptor. Europe’s capital markets firms are entering the most consequential phase of T+1 preparation. From 11 October 2027, trades executed in European markets are expected to settle one business day after trade date, reducing the settlement cycle from T+2 to T+1. More than 4 trillion euros of securities...

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...