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

QuantHouse Automates Global Operations with Cloud-Based Robot Agents

Subscribe to our newsletter

QuantHouse, a provider of end-to-end systematic trading solutions including market data services, algo trading platform and infrastructure products, has completed the first phase of its infrastructure process automation programme using cloud-based robot agents.

It remains crucial during times of uncertainty and volatility that infrastructures operate reliably, efficiently and have the necessary scale to meet ever-growing volumes and message rates. Introducing increased levels of automation will enable the firm to rapidly add resources to a number of its in-house processes with minimal human intervention, using widely adopted and secure cloud native technologies that deliver automated deployment and monitoring tasks. It should also make it easier for QuantHouse to enter new markets that trade 24/7.

“QuantHouse has been designing and operating its own private low latency cloud for more than 15 years. With the general availability of advanced cloud management technologies, we are now leveraging those proven cloud native solutions to fundamentally review how we manage our operations,” says Chief Operating Officer Emmanuel Carjat. “Using robot agents allows our engineers to spend their time planning for the future while out-tasking standard maintenance and client implementation processes.”

The firm has onboarded a new hedge fund client on average every week over the past 15 months.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Data platform modernisation: Best practice approaches for unifying data, real time data and automated processing

Financial institutions are evolving their data platform modernisation programmes, moving beyond data-for-cloud capabilities and increasingly towards artificial intelligence-readiness. This has shifted the data management focus in the direction of data unification, real-time delivery and automated governance. The drivers of this transition are improved operational efficiency as manual processes are replaced by faster, more accurate automated...

BLOG

LSEG and Bank of America Target AI-ready, Governed Data Integration in Multi-Year Partnership

London Stock Exchange Group (LSEG) and Bank of America have agreed a multi-year strategic partnership centred on embedding governed, AI-ready data and analytics directly into the bank’s core workflows. Rather than a distribution agreement focused on access, the collaboration reflects a broader architectural shift: integrating unified, rights-cleared content, analytics and risk intelligence across advisory, trading,...

EVENT

Eagle Alpha Alternative Data Conference, London, hosted by A-Team Group

Now in its 8th year, the Eagle Alpha Alternative Data Conference managed by A-Team Group, is the premier content forum and networking event for investment firms and hedge funds.

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...