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Gareth Evans joins Mosaic Smart Data

  • July 20, 2022

Gareth Evans, chief product officer, Mosaic Smart Data.

Analytics provider Mosaic Smart Data, has appointed fixed income, currencies and commodities (FICC) expert Gareth Evans as chief product officer.

In his new role, Evans will be responsible for continuing to shape the strategic product direction of Mosaic’s data-driven tools. Its technology is used by investment banks to optimise their FICC sales and trading performance.

He has almost two decades of industry experience across the front-to-back capital markets landscape and joins Mosaic from UBS, where he led the product management team for the investment banks distribution and sales platforms, delivered through UBS Neo, the bank’s cross-asset electronic trading platform.

Evans has also previously held roles at Deutsche Bank, where he was European head of credit and rates technology, and at Morgan Stanley, where he was a senior software developer within the fixed income electronic trading team.

“I’m delighted to join Mosaic at a time when banks are urgently seeking technology solutions that deliver tangible business improvements,” said Evans. “For banks in the FICC space, the ability to digitise effectively hinges on being able to harness the growing amount of market and transaction data at their disposal. Mosaic has been custom-built for this specific purpose and I look forward to helping drive its continued adoption by investment banks across the globe.”

Matthew Hodgson, CEO and founder of Mosaic Smart Data, said, “Gareth’s expertise at the intersection of FICC and financial technology is a perfect fit for Mosaic and our customers. We are seeing growing demand for our technology as FICC trading banks prioritise productivity, efficiency and increased speed to market in this challenging operating environment. Gareth’s experience is a great asset to the team as we continue to help banks achieve these goals by applying advanced AI and machine learning technology to extract actionable insight from their data."

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