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

A-Team Insight Blogs

Leading Global Custodian Banks Think Custodians Should Be More Involved In The Settlement And Account Instruction Process, According To New Survey

Subscribe to our newsletter

Despite a heightened focus on risk management and increased levels of automation within custodian banks worldwide, the settlement and account instruction (SI) process still relies heavily on manual processes, introducing risks and costs into the trade lifecycle, according to research by Omgeo, the global standard for post-trade efficiency. The survey, conducted by Omgeo in July 2011, gained insights on global custodians’ challenges and thoughts on the future related to this key reference data component. Respondents included eight of the top 25 global custodians and represented 70 percent of the world’s assets under custody.

Nearly 10% of custodian bank clients’ trades fail or need amending after instructing, according to the research, with 40% of banks mentioning that 30% or more of these were due to settlement instruction issues. Respondents cited manual or missing SI data as the main pain points around settlement instructions, with banks primarily using manual methods such as email, the most common method of sharing SI information with their investment manager clients.

At a time where global regulators seek to reduce risk throughout the trade lifecycle, and when Europe is poised to move to a T+2 settlement cycle, firms will face increased pressure to ensure an efficient, transparent process across the trade lifecycle. The further automation of SI data within custodian banks would introduce greater control in the process and improve the data quality gap, as well as promote compliance with industry standards while reducing the risk of claims and compensation resulting from failed trades. Indeed, the majority of banks surveyed (63%) agreed they should have more involvement in the maintenance and updating of SIs and that this would be positively received by the industry as some firms delve more deeply into middle-office outsourcing. 

Mark Bouchea, Executive Director of Product Management, Omgeo, commented, “For 10 years, Omgeo has been focused on bringing increased levels of automation to the post-trade process, including the SI lifecycle. The results of this survey demonstrate an on-going area of opportunity to make the SI process more efficient, while reducing risk within the trade lifecycle. It is great to hear that custodian banks want to take a more active role in this process, as it will benefit the entire community. With increased bank involvement and greater automation, SI accuracy and compliance will only continue to improve.”

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Generative and Agentic AI in Financial Markets: What the Data Really Shows

Artificial intelligence is reshaping financial markets – but the reality on the ground is more nuanced, more uneven, and more instructive than the headlines suggest. A new A-Team Insight research programme, drawing on responses from senior AI decision-makers at buy-side and sell-side institutions across the USA, UK and Canada, reveals a market in transition: from...

BLOG

12 Leading Vendors Operationalising AI & ML with Robust Data Pipelines

The transition of artificial intelligence and machine learning (ML) models from experimental sandboxes to production environments remains a persistent operational friction point. While quantitative researchers and data scientists can often demonstrate alpha in isolated backtesting environments, the institutionalisation of these models requires a level of data pipeline robustness, latency control and regulatory auditability that research...

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...