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

A-Team Insight Blogs

Talking Intelligent Trading with Andrew Delaney: It’s Time to Buy and Build

Subscribe to our newsletter

As we put the last-minute touches on our agenda for next week’s Intelligent Trading Summit in New York – register here if you haven’t already – we continue to canvass the marketplace on what makes a trading platform intelligent. Part of the story, we are finding, is in approach to design. And the message we are hearing is that after a decade of polarisation in the build vs. buy debate, there is emerging a Third Way.

The concept of buying component parts and building them into a preferred trading architecture is gaining moment. Call it build AND buy. Its genesis appears to have been the recognition among larger players in particular that building everything yourself is no longer a) a requirement for key elements of trading system functionality and b) cost-effective at a time when everything is being squeezed.

And lower vendor price points, based on use of more open technologies and new commercial models like open-source, means that smaller players can start to add unique functionality where before they were constrained by resource to use of vanilla third-party systems with little scope for differentiation.

Underpinning all of this is a visible trend toward freedom from reliance on a single supplier, even as the post-trade data management requirement becomes more complex the more components are involved. (Indeed, a common emerging complaint is the difficulty in integrating the output from multiple trading systems in a way that can be applied to the raft of new reporting requirements being demanded by regulators.)

Those with the savvy and resource are building trading infrastructures based around central messaging platforms. They are integrating front-end components – OMS, EMS, market data – from third-party suppliers. And they’re driving all post-trade messaging across the platform to middle- and back-office functions like risk management, regulatory reporting and settlement.

Ensuring consistency of data is the new challenge, driving a potential trade-off between performance/functionality and the ability to handle data outputs from multiple systems. We’ll be hearing about some of this at ITS in New York next week, where experts from the likes of sponsors Fidessa, Tibco and IBM will share their insights into how they are helping clients develop intelligent trading systems in this new environment. And we’ll be hosting a webinar on the topic, probably in June, to delve into drivers, challenges and best practices.

In all this excitement, I find myself humming a familiar tune. With apologies – once again – to Paul McCartney, it goes something like this:

‘And in this ever-changin’ world in which we’re living

Makes you give it a try – To build AND buy’

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: From Data to Alpha: AI Strategies for Taming Unstructured Data

Date: 16 April 2026 Time: 9:00am ET / 2:00pm London / 3:00pm CET Duration: 50 minutes Unstructured data now accounts for the majority of information flowing through financial markets organisations, spanning research content, corporate disclosures, communications, alternative data, and internal documents.  While AI has created new opportunities to extract signal from this data, many firms...

BLOG

Why Do We Disagree? How AI Solves One of Post-Trade’s Most Persistent Challenges

By Carl Thornberg, head of optimisation and analytics technology, OSTTRA. In post-trade operations, most problems are not caused by outright errors, they are caused by ambiguity. Trades that look different but are not wrong. Valuations that diverge for valid reasons. Numbers that do not line up, even though nothing has actually gone awry. At scale,...

EVENT

RegTech Summit London

Now in its 9th year, the RegTech Summit in London will bring together the RegTech ecosystem to explore how the European capital markets financial industry can leverage technology to drive innovation, cut costs and support regulatory change.

GUIDE

Regulatory Data Handbook 2025 – Thirteenth Edition

Welcome to the thirteenth edition of A-Team Group’s Regulatory Data Handbook, a unique and practical guide to capital markets regulation, regulatory change, and the data and data management requirements of compliance across Europe, the UK, US and Asia-Pacific. This year’s edition lands at a moment of accelerating regulatory divergence and intensifying data focused supervision. Inside,...