Tradefeedr Onboards Alexis Fauth as Head of Data Science, Client Analytics

Tradefeedr, a forex industry data analytics platform, announced the appointment of Alexis Fauth on Thursday as the Head of Data Science and Client Analytics.

The new appointment came only a couple of months after the company onboarded industry veteran Tim Cartledge as the Chief Data Officer. Then, the company received a $1 million investment from Alphaview Limited, the family office of Tim and Kate Cartledge.

Fauth is a trained data expert with years of industry experience. He also holds a Ph.D. in Applied Mathematics from Panthéon-Sorbonne University.

His responsibility at Tradefeedr will be to identify and develop a wide range of tools for clients, providing them with further data insights and optimizing trading.

“Many of our clients and Liquidity Providers Liquidity Providers A liquidity provider (LP) constitutes an individual and/or an institution that functions as a market maker in a given asset class. Broadly speaking, liquidity providers will act as both the buyer and seller of a particular asset, thus making a market. In the equities space, many stock exchanges rely on liquidity providers who make the commitment to provide liquidity in a given equity. These liquidity providers commit to providing liquidity in the hopes that they will be able to make a profit on A liquidity provider (LP) constitutes an individual and/or an institution that functions as a market maker in a given asset class. Broadly speaking, liquidity providers will act as both the buyer and seller of a particular asset, thus making a market. In the equities space, many stock exchanges rely on liquidity providers who make the commitment to provide liquidity in a given equity. These liquidity providers commit to providing liquidity in the hopes that they will be able to make a profit on Read this Term want to gain further insights into their data to optimize trading strategies and better manage relationships. Our aim is to build on our leading position in data analytics Analytics Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision-making. In the trading space, analytics are applied in a predictive manner in an attempt to forecast the price more accurately. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analy Analytics may be defined as the detection, analysis, and relay of consequential patterns in data. Analytics also seeks to explain or accurately reflect the relationship between data and effective decision-making. In the trading space, analytics are applied in a predictive manner in an attempt to forecast the price more accurately. This predictive model of analytics generally involves the analysis of historical price patterns that are used in an attempt to determine certain price outcomes. Analy Read this Term and develop new advanced tools which help our clients and Liquidity Providers to enable data-driven decision making,” said Fauth, who has already joined Tradefeedr.

Solid Background

He joined Tradefeedr from Citi where he worked for almost six years. There, he was the Global head of FX Data Science and developed client optimization strategy models.

Prior to that, he was a Quantitative Analyst at a London-based affiliate of S&P. There, he led a team that developed XVA models for Fixed Income, hybrid derivatives pricing and counterparty credit risk models.

“He brings an in-depth knowledge of applying data science to financial markets, combined with an understanding of the needs of FX market participants,” said Alexei Jiltsov, the Co-Founder of Tradefeedr, a company that has 20 sell-side and over 50 buy-side firms as clients.

“As our network grows and more trading data is acquired, we continue to add new advanced analytical services so that clients can maximize the value of their data.”