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

A-Team Insight Briefs

Raiffeissen Bank Deploys Chronicle FIX Solution Across Global ETD Trading Business

Subscribe to our newsletter

Low-latency technology solutions provider Chronicle Software has expanded its footprint at Austrian bank Raiffeisen Bank International. The bank has rolled out Chronicle’s Java-based FIX engine across its complete global ETD workflow, following initial implementation within one of its regional trading centres.

For the rollout, Chronicle has given Raffeissen access to the source code, enables a tailored solution to be built for the bank’s ETD business.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: Optimising cloud, marketplaces & managed data services

Date: 30 June 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes 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...

BLOG

Market Data Distribution Parity: Redefining Fairness

By Scott Schweitzer, Independent Consultant, LDA Technologies. Electronic exchanges play a vital role in the financial industry, providing a robust and trusted forum for trading and execution without issue. But even so, the technology available to exchanges has traditionally led to discrepancies in data distribution, from microseconds to nanoseconds, which can be critical for latency-sensitive...

EVENT

Data Management Summit London

Now in its 16th year, the Data Management Summit (DMS) in London brings together the European capital markets enterprise data management community, to explore how data strategy is evolving to drive business outcomes and speed to market in changing times.

GUIDE

The Reference Data Utility Handbook

The potential of a reference data utility model has been discussed for many years, and while early implementations failed to gain traction, the model has now come of age as financial institutions look for new data management models that can solve the challenges of operational cost reduction, improved data quality and regulatory compliance. The multi-tenanted...