A market leader in bonds trading was expanding to new markets, acquiring businesses, introducing products and adding features to existing offerings. To support its growth plans, it needed an agile and modern cloud-based platform.

With the new solution, the client wished to achieve scale with minimal latency in operations and service, integrate new businesses without disruption, roll out  features faster to improve customer experience and get a competitive edge, use data to help customers make better trading decisions, and monetize the data.

We had to not only create a new IT architecture for the client’s trading platform but also constantly re-engineer and improve the architecture to quickly meet emerging business needs.

We deployed a scalable, highly available auctions solution on the AWS cloud using Java, Springboot, React JS, React, Redis, and Kafka.

Optimized algorithms now achieve best matching with minimal latency while offering full price transparency. Artificial intelligence (AI) and machine learning (ML) provide greater insight and real-time price discovery for specific asset classes.

The cloud-based architecture enabled the client to create products and monetize market data. Test automation across the trade lifecycle using a combination of C#, Ranorex, Test Rails helped the client update user interfaces (UI) without reducing performance. It also eased integration linkages between the acquired solution’s frontend and the client’s existing backend.

• Significantly speed up time-to-market for new releases
• Make releases several times a year
• Offer customers trading in Muni bonds (an acquired product) and U.S. treasuries (a new service)
• Support Chinese markets