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

A-Team Insight Blogs

Asset Managers Can Learn Lessons from New Government’s Cost Pressures

Subscribe to our newsletter

By Thomas McHugh, CEO and Co-founder of FINBOURNE Technology.

Any new government brings the inevitable “change” message, but one thing never changes regardless of who has the keys to the treasury – seeking out departmental cost savings wherever humanly possible. With unprotected departments facing cuts of up to 2.9% according to the Institute for Fiscal Studies, Rachel Reeves faces the unenviable task of making eye-watering efficiency savings while also boosting growth.

This fiscal pressure provides a timely parallel for asset managers, who are also grappling with their own rising costs, particularly in the thorny area of operations. Just as any new government must prioritise where to make cuts without harming essential public services, asset managers need to navigate the longstanding challenge of reducing costs while protecting key business functions.

Moves as drastic as ditching trading terminals to save millions, as some have considered, underscores the immense pressure to streamline operations amid years of shrinking margins and heightened competition. Streamlining data management makes more sense as a cost cutting approach, as it brings the added benefits of more effective decision making and the opportunities to innovate that arise from better managed data.

Much like our political system, data in asset management firms is often a tangled mess. Years of patching together disparate solutions with siloed data sets have resulted in a Frankenstein–like tech stack. Changing this in a big all-encompassing program that promises a new way can lead to disappointment and a change program divorced from reality – more like a Liz Truss-style fiscal horror show than an efficient machine. Transforming data into a core operational asset, at a cost that is manageable, can be a real game changer for Asset Management firms.

With all this in mind, like politicians addressing their electorate, asset managers must prioritise the needs of their investors. Extensive change to data management strategies may be needed, but it doesn’t follow that changes should all take the form of ‘megaprojects.’ Technology should simplify, not complicate. The right software should work seamlessly, providing accurate and timely information that transforms how firms use data to deliver enhanced services to their clients .

The lesson from the government’s fiscal challenges is clear: prioritise, streamline, and modernise. Asset managers should invest in integrated data management solutions that will ultimately result in a leaner, more efficient operation capable of thriving in a competitive landscape.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Building a Semantic Layer for Your Enterprise Data Estate

Date: 8 September 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes The democratisation of data has encouraged engineers to think about how to make their data estates more accessible and useable for non-technical business end-users. Translating intention into data action requires careful configuration that enables consumers to mine insight, analytics...

BLOG

SEC and CFTC Recalibrate Private Fund Reporting for Systemic Risk Oversight

The SEC and CFTC have proposed a substantial reset of Form PF, raising reporting thresholds and streamlining requirements for private fund advisers while preserving supervisory access to data on the largest and most systemically relevant managers. The proposed rule would lift the general filing threshold from $150 million to $1 billion in private fund assets...

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

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...