Broadridge collaborates with BMLL 13 August 2025US Reporter: Tahlia Kraefft
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Broadridge Financial Solutions, a global fintech company has partnered with BMLL Technologies, a supplier of Level 3 historical market data and analytics to asset managers, banks brokers, hedge funds, and other organisations such as global exchange groups.
The alliance intends to distribute new pre-trade data analysis within Broadridge’s global sell side Order Management System (OMS) and Xilix Execution Management System (EMS) for firms that purchase investment securities in Japan.
Dealers with Broadridge’s OMS, along with Japanese buy side clients, will be given immediate access to developed analytics at the point of order entry with these improvements.
Predictions on execution time, market impact, participation rates, spread costs, and risk exposure are available to users and encompassed into current work ecosystems.
Broadridge’s OMS and Xilix EMS offers users actionable insights such as daily volumes by trading session, real-time Average Volume at Time (AVAT), Remaining Volume at Time (RVAT), and dynamic execution timing assessments.
Automated order routing provides metrics that update with market condition changes.
Brian Pomraning, chief product officer of Broadridge trading and connectivity solutions says: “Working with BMLL we are optimising trading and delivering transformation by integrating actionable insights and robust analytics directly into the workflows of both global sell side and Japanese buy side clients. We are providing traders with unprecedented pre-trade insights to optimise their trading at the point of execution.”
Dr Elliot Banks, chief product officer at BMLL adds: “We are thrilled to partner with Broadridge, enabling it to provide its buy side and sell side clients with pre-trade analytics directly through its EMS and OMS platforms, built using BMLL’s high quality historical data. We are increasingly witnessing a shift across market participants towards buy-and-build strategies, cementing the fact that owning or engineering vast amounts of data is no longer what differentiates firms. It’s what they do with the data that matters.”
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