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

A-Team Insight People

Iress Creates API Data and Trading Solutions Team

Subscribe to our newsletter

Trading technology provider Iress has launched a dedicated API Data and Trading Solutions team to support demand for the company’s market data and infrastructure solutions. The company says the development marks the completion of the full integration of the QuantHouse business, which it acquired in May 2019. The new team will support clients using Iress’s market data feed API solutions, such as the QuantFEED low-latency data platform, and APIs for the company’s historical data on-demand, reference data and analytics products.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Optimising cloud, marketplaces & managed data services

Financial institutions are under mounting pressure to rethink how they source, manage and distribute market data. Rising data volumes, multi-cloud adoption and the operational demands of regulations such as DORA are exposing the limits of legacy infrastructure, and driving firms toward managed services and cloud-native delivery models that can offer greater scalability, resilience and cost...

BLOG

Build, Buy, or Both? Why the Real Question for Quant Infrastructure Has Shifted to Where the Edge Sits

The questions have become perennial: build versus buy, cloud versus on-premise, in-house versus managed platform. But the discussion that emerged from a recent A-Team Group webinar on quantitative research infrastructure pointed to something more interesting than a binary choice. The build-versus-buy question, panellists agreed, has matured into a more sophisticated conversation about where firms locate...

EVENT

AI in Data Management Summit New York City

Now in its second year, the AI in Data Management Summit NYC explores what changes when AI becomes part of the data management operating model.

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...