Quantitative Brokers to expand with 20 hires in data and product engineering

Algo trading specialist Quantitative Brokers will focus on expanding its data analytics and product engineering teams in 2021 with 20 new hires.

Quantitative Brokers has outlined plans to expand its team with new hires shortly after German exchange group Deutsche Börse took a majority stake in the company.

The algorithmic trading specialist will hire 20 full-time employees globally during this year, with a focus on data analytics and product engineering to boost its execution performance and analysis for futures and fixed income markets.

According to statistics from Quantitative Brokers, the firm executed more than $5 trillion in futures, US cash treasuries, and options markets globally in 2020.  

Christian Hauff, CEO and co-founder of Quantitative Brokers, said that algo trading continues to play a critical role in the derivatives market, as data from the Futures Industry Association revealed that global futures volumes increased 36% last year.

“Our buy and sales-side clients increasingly depend on QB’s global execution tools and dynamic engineering in this ever-evolving market structure,” said Hauff who plans to increase the firm’s coverage particularly in Asia Pacific.  

“The expanded team will help QB remain at the forefront, providing the next evolution of algo trading strategies fuelled by machine learning and industry-leading microstructure research for both CLOB [central limit order book] and RFQ [request for quote] market structures.”

The expansion plans follow news that Deutsche Börse would take a majority stake in Quantitative Brokers in September. The exchange operator said the deal will increase its engagement with the buy-side and contribute to its trading and clearing growth plans. The transaction was completed in early December.

“QB was founded on innovation, we will continue to lead change in 2021 by bringing the next generation of quantitative execution concepts and ideas such as our dynamic regime switching logic, options and OTC strategies and big advances in trade performance evaluation and cost modelling driven by machine learning,” added Hauff.