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

Itiviti and IHS Markit Partner to Produce Integrated ETF Platform

Subscribe to our newsletter

An increase in trading of exchange-traded funds (ETFs) has prompted capital markets technology provider Itiviti to partner data analytics specialist IHS Markit to deliver an integrated ETF platform.

The solution, Tbricks by Itiviti for Delta One, combines Itiviti’s Tbricks trading system with SOLA, Markit’s ETF data service. Tbricks provides a scalable and customisable trading platform, while SOLA aggregates and generates key pricing and risk-related information, including daily portfolio composition, basket information, dividend forecasts and analytical datasets.

The aim is to provide a fully integrated ETF trading solution, from composition through to quoting, hedging and risk. Chris Anderson, Itiviti senior product manager, explains: “ETFs have exploded in recent years. With the increasing numbers and complexity of these products, the process is becoming a bit more painful and if it goes wrong it can be catastrophic. Last year, one of the main pain points we saw was around static data management. So, we set out to build an automated, completely hands-off static data integration solution – but also a workflow and value-add around that in terms of sanity checking, deviation checks and exception-based workflow. Traders can easily see whether they have the right composition, or whether there is anything they should double check.”

Itiviti decided to form a strategic alliance with Markit because SOLA is the industry standard in ETF and index static data, has a reputation for wide coverage, and accurate and timely data. Anderson comments: “Many of our clients and prospects are already clients of Markit so it made a lot of sense for us to do this. To be competitive, we needed to integrate with them.”

Tbricks by Itiviti for Delta One initially covers core ETF and static data management functionality, although Anderson notes there are “other challenges faced by ETF market makers that aren’t adequately served by existing tools”. Bearing this in mind, Itiviti and Markit are looking to address areas such as connectivity, new market models and venues, risk and inventory management.

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 Launches Model-as-a-Service, Extending Marketplace Strategy into Financial Models

LSEG has launched Model-as-a-Service (MaaS), expanding its marketplace strategy beyond data distribution into the hosting, commercialisation and integration of financial models. At launch, Societe Generale has joined as a provider, making fixed income, FX, ESG and equities analytics available through the platform. The move positions LSEG not just as a data vendor, but as an...

EVENT

AI in Capital Markets Summit London

Now in its 3rd year, the AI in Capital Markets Summit returns with a focus on the practicalities of onboarding AI enterprise wide for business value creation. Whilst AI offers huge potential to revolutionise capital markets operations many are struggling to move beyond pilot phase to generate substantial value from AI.

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...