ETX Capital Taps Andrea Di Blasio as Head of Quant Trading

ETX Capital, a UK-based broker firm, has hired Andrea Di Blasio as Head of Quant Trading, who arrives at the company with around three years of experience within the field. According to the announcement made via LinkedIn, the lead of the broker’s Quant Trading department has been working on the role since April, although it was made official today.

“I analyze data, test and develop new ideas to monitor and improve the overall processes related to the trading ecosystem: pricing, inventory management, liquidity sourcing, hedging strategies, etc.,” Di Blasio stated in the LinkedIn post. Prior to his new role, ETX Capital’s Head of Quant Trading had a short-lived tenure working for three months at FlowBank as a Senior Quant Trading Analyst.

Furthermore, he spent over one year and a half working as eFX Quantitive Analyst for Swissquote. But his professional background also extends to the academic field, as he was a Doctoral Assistant, Chair of Computational Mathematics and Numerical Analysis at École polytechnique fédérale de Lausanne (EPFL). Di Blasio also earned in EPFL a Master of Science in Computational Science and Engineering, a Doctor of Philosophy (Ph.D.) in Mathematics, and a Bachelor’s degree in Mathematical Engineering.

Recent Hirings

The appointment of Di Blasio comes after ETX Capital announced that it had secured Juan Amiguet as its new Head of Data, effective from July 2021. Other recent hires by ETX Capital include risk director Nicolas Gavriel, technical analyst Alex Neale, marketing executive Kyriakos Paisanos, and Head of Research and Analysis Andrew Saks.

In terms of product announcements, ETX Capital unveiled on June the launch of zero-fee trading services for a long list of top-traded stock CFDs. The brokerage offers trading services with thousands of stock CFDs that are listed on both United States and European exchanges. But, the zero-fee services are set to be limited to the most popular stock CFDs on the platform, including company names like Tesla, Apple, Amazon, and Barclays.

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