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

Post-Trade for ETDs: The Final Frontier for Buy-Side Operational Efficiency?

Subscribe to our newsletter

The fund management industry’s shift to passive funds and embrace of smart-beta funds over the past decade or so has shaved margins to the extreme. In this environment, operational efficiency becomes an existential issue.

Across a broad swathe of asset classes, front-office technologies have kept pace with massive changes in market structure driven by regulation and innovation. But post-trade business processes continue to play catch-up.

Nowhere is this more true than in exchange-traded derivatives, where few technology options are available to aid buy-side firms as they face a myriad of challenges as they strive to ensure efficiency, accuracy and regulatory compliance.

The use of multiple clearing brokers is fragmenting buy-side operational processes. The continued T+1 availability of clearing data is introducing delays in delivering final trade and position confirmations to clients. The reliance by brokers on files for data delivery is blocking development of a more efficient messaging standard.

And there’s more.

The buy-side’s reliance on manually processed broker-provided clearing data makes fund managers’ work flows prone to errors. Commission management is typically handled outside of the post-trade process, requiring fund managers to re-integrate this information after the event for fund administration and client reporting. And the increasing complexity of the execution landscape – with funds trending towards more block trades – is making it difficult to calculate a true price.

All of these issues are conspiring to disrupt work flows and introduce operational risk and costs into the post-trade process.

Market practitioners, however, are working to address inefficiencies in post trade. For a discussion of the challenges currently facing players in the ETD space and industry initiatives designed to address them, please download this free paper by clicking here.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: GenAI and LLM case studies for Surveillance, Screening and Scanning

As Generative AI (GenAI) and Large Language Models (LLMs) move from pilot to production, compliance, surveillance, and screening functions are seeing tangible results – and new risks. From trade surveillance to adverse media screening to policy and regulatory scanning, GenAI and LLMs promise to tackle complexity and volume at a scale never seen before. But...

BLOG

Data as a Product: From Collection to Control in Modern Markets

For much of the past decade, data strategy in capital markets focused on accumulation. Firms invested heavily in market data feeds, alternative datasets, data lakes, and analytics platforms. Yet despite this abundance, many organisations have still struggled to answer basic operational questions with confidence, particularly during periods of market stress. The problem is no longer...

EVENT

ExchangeTech Summit London

A-Team Group, organisers of the TradingTech Summits, are pleased to announce the inaugural ExchangeTech Summit London on May 14th 2026. This dedicated forum brings together operators of exchanges, alternative execution venues and digital asset platforms with the ecosystem of vendors driving the future of matching engines, surveillance and market access.

GUIDE

Entity Data Management

Entity data management has historically been a rather overlooked area of the reference data landscape, but with the increase focus on managing risk, the industry is finally taking notice. It is now generally agreed to be critical to every financial institution; although the rewards for investment in entity data management appear to be rather small,...