XTX Markets Chief Technology Officer Joshua Leahy has left the firm, the company confirmed in an email to Finance Magnates. The departure ends more than a decade at the quantitative trading firm.

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He has also stepped down as a director of XTX Markets Limited. A Companies House filing shows his directorship ended on 30 March 2026, with the filing recorded today (Monday).

Founded in 2015, XTX Markets has grown into one of the world’s largest algorithmic trading firms. It handles about $250 billion in daily trading volume across 35 countries. The company employs more than 250 people globally. It has expanded beyond its original focus on foreign exchange into equities, fixed income, commodities, and cryptocurrencies.

XTX Confirms Leahy CTO Exit

The company confirmed that Leahy has exited his CTO role. The filing and confirmation together indicate his full departure from the firm. Alex Gerko, CEO of XTX Markets, commented on the exit, saying: “Leahy has informed us of his decision to leave the firm. We are grateful to Josh for his outstanding contribution to XTX since its inception.”

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Leahy previously served as a senior technology executive at XTX Markets. He worked on building and scaling its machine-learning Machine Learning Machine learning is defined as an application of artificial intelligence (AI) that looks to automatically learn and improve from experience without being explicitly programmed. Machine learning is a rapidly growing field that also focuses on the development of computer programs that can access data and use it learn for themselves.This has many potential benefits for most industries and sectors, including the financial services industry. Machine Learning ExplainedMachine learning can be explained Machine learning is defined as an application of artificial intelligence (AI) that looks to automatically learn and improve from experience without being explicitly programmed. Machine learning is a rapidly growing field that also focuses on the development of computer programs that can access data and use it learn for themselves.This has many potential benefits for most industries and sectors, including the financial services industry. Machine Learning ExplainedMachine learning can be explained Read this Term-driven trading infrastructure and engineering systems.

XTX Earnings Rise on Volatility Gains

XTX Markets reported higher earnings for 2024, supported by increased market volatility Volatility In finance, volatility refers to the amount of change in the rate of a financial instrument, such as commodities, currencies, or stocks, over a given time period. Essentially, volatility describes the nature of an instrument’s fluctuation; a highly volatile security equates to large fluctuations in price, and a low volatile security equates to timid fluctuations in price. Volatility is an important statistical indicator used by financial traders to assist them in developing trading systems. Trad In finance, volatility refers to the amount of change in the rate of a financial instrument, such as commodities, currencies, or stocks, over a given time period. Essentially, volatility describes the nature of an instrument’s fluctuation; a highly volatile security equates to large fluctuations in price, and a low volatile security equates to timid fluctuations in price. Volatility is an important statistical indicator used by financial traders to assist them in developing trading systems. Trad Read this Term and continued expansion of its trading operations.

The company’s three main UK entities generated combined revenue of £2.74 billion in 2024, up from £2 billion in 2023. Net profit rose to £1.28 billion, compared with £835 million in the previous year, according to company filings.

XTX Technologies accounted for the largest share of revenue at £2.04 billion. XTX Markets Trading Limited reported £636 million, while XTX Markets Limited contributed £61 million.

The company also reported higher staff compensation at its main UK entity, with average pay rising compared with the previous year.