J.P. Morgan has launched the Securities Services Data Mesh, a data solution that allows investors to access critical investment data from J.P. Morgan’s custody, fund accounting and middle-office services. It is delivered via Fusion by J.P. Morgan.
The Data Mesh platform aims to mitigate issues around asset servicing data integration. This is particularly relevant to problems with ingesting data at scale, the company says, as portfolios and investments grow in size and complexity.
Using cloud-native channels including REST APIs, Jupyter notebooks and Snowflake’s financial services data cloud, investors will be able to integrate data into their workflows and existing applications.
Gerard Francis, head of data solutions at J.P. Morgan, says: “Institutional investors continue to leverage data at an increasing rate to maximise alpha and operational efficiency. Having easy access to that data is paramount.
“With Data Mesh, we meet our clients where they are, delivering data directly to their Snowflake instances and Python notebooks. Clients can now access data directly from applications running in the cloud and on-premise through Fusion APIs and other modern delivery channels.”
Tim Fitzgerald, global head of securities services at J.P. Morgan, comments: “The securities services industry has become increasingly data-driven. Fusion is a central tenet of our offering, and its expansion to cloud-native delivery of custody, fund accounting and middle-office data gives our clients the tools to focus on the evolution and growth of their businesses.”
