Tradefeedr Hires Data Science and Analytics Head
Posted by Colin Lambert. Last updated: September 15, 2022
Data analytics platform Tradefeedr has announced the hire of Alexis Fauth as head of data science and client analytics.
In what is a newly-created role Fauth is responsible for identifying and developing a range of new tools for clients, enabling them to gain further insights from their data and to optimise their trading.
The firm says Fauth has extensive experience developing trading and analytics frameworks in FX, fixed income and futures. He joins from Citi where he was global head of FX data science, in which role he developed client optimisation strategy models. Prior to this he was a quantitative analyst at S&P, where he led a team which developed XVA models for fixed income, hybrid derivatives pricing, and counterparty credit risk models.
“Our clients want to gain further insights into their data to optimise trading strategies and better manage relationships,” says Fauth. “Our aim is to build on our leading position in data analytics and develop new advanced tools which enable data-driven decision making between buy-side and sell-side.”
Alexei Jiltsov, co-founder of Tradefeedr, adds, “Alexis brings an in-depth knowledge of applying data science to financial markets, combined with an understanding of the needs of FX market participants. As our network grows and more trading data is acquired, we continue to add new advanced analytical services so that clients can maximise the value of their data.”