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: Enhancing trader efficiency with interoperability – Innovative solutions for automated and streamlined trader desktop and workflows

Traders today are expected to navigate increasingly complex markets using workflows that often lag behind the pace of change. Disconnected systems, manual processes, and fragmented user experiences create hidden inefficiencies that directly impact performance and risk management. Firms that can streamline and modernise the trader desktop are gaining a tangible edge – both in speed...

BLOG

From Noise to Signal: How AI is Revolutionising Data Discovery for Traders and Investment Managers

The financial markets have never suffered from a lack of data. If anything, the challenge for modern traders and investment managers is quite the opposite: they are drowning in it. From real-time pricing and news feeds to unstructured earnings call transcripts and social media sentiment, the volume of information is immense. The critical differentiator in...

EVENT

Data Management Summit New York City

Now in its 15th year the Data Management Summit NYC brings together the North American data management community to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

ESG Data Handbook 2022

The ESG landscape is changing faster than anyone could have imagined even five years ago. With tens of trillions of dollars expected to have been committed to sustainable assets by the end of the decade, it’s never been more important for financial institutions of all sizes to stay abreast of changes in the ESG data...