Mosaic Smart Data Launches Real-Time Analytics Tool for Swaps

This latest addition will enable banks to consolidate and visualize their electronic and voice-traded swaps transactions through a single user interface. Matthew Hodgson, CEO and founder of Mosaic Smart Data, explains that the industry traditionally operates across multiple platforms and that one of the challenges in creating a unified view is a reliance on inconsistent data definitions.

“One of the challenges is that the transaction data is not normalized, and what we are able to do is bring all of the transactions into the same format,” says Hodgson. “We are completely venue-agnostic, and whether it is voice or electronic, we are still able to give you the same insights. So this idea of a single view of all transactions, both historical and in real time, is critical for market players.”

The real-time offering is designed to alleviate the challenges of the complex swaps market, helping banks to manage their risk concentration and quality of execution, using features such as risk analysis and transaction-cost analysis. Hodgson says that the platform also offers data-enrichment services, and uses analytics engines to detect insights and abnormal trading activity. He explains that machine-learning technology is used to analyze insights, and that clients have the opportunity to customize algorithms based on their requirements.

“Within the architecture, we deploy our machine-learning code into the platform using an algorithm container,” he adds “Our clients wish to build alongside us and deploy their own machine-learning code into the platform for their own use cases. We offer that flexibility and that is a highly unique selling proposition for us.”

The company aims to continue to build out the platform capabilities and expand its client reach across buy-side and sell-side firms. As development continues, the provider seeks to broaden its analytics offerings across areas such as compliance and surveillance.

“By normalizing all your transaction data, and using it for performance analytics, you are sitting in a position where performance analytics can quite quickly become surveillance analytics and regulatory reporting analytics,” Hodgson says.