Categories: Brokerage

Quantitative Brokers Appoints Deepak Begari as Chief Technology Officer

Former Bloomberg Tradebook executive joins rapidly growing team.

Quantitative Brokers (QB), an independent provider of advanced algorithms and data-driven analytics to clients in the Futures and US Cash Treasury markets, today announced that Deepak Begari has joined as Chief Technology Officer and as a member of QB’s Executive Committee.

With more than 11 years of experience in electronic trading and a primary focus on algorithmic execution across multiple asset classes, Begari has significant expertise in software development, product management and analytics. Begari joins QB from Bloomberg Tradebook, where he served as a senior product manager, responsible for managing algorithms for equities, options and FX.

Prior to Tradebook, Begari held various senior management roles in technology development and product management at leading firms, including Redi Global Technologies, Pragma Trading and ITG.

At QB, Begari will oversee all aspects of the company’s technology platform, including architecture, as well as implementation of its suite of proprietary algorithms and planning of new offerings and technology strategy.

“We are delighted to welcome Deepak as our CTO,” said Ralf Roth, CEO of Quantitative Brokers. “He has a deep understanding of technology architecture and strategy, in addition to extensive product knowledge that uniquely positions him to lead our efforts to deliver superior algorithms and analytics for the Futures and Fixed Income markets.”

“I am excited to join Quantitative Brokers at this time of tremendous growth and innovation,” said Begari. “QB is leading the way in creating advanced, dynamic algorithms, and I look forward to driving forward technology development across the firm to further enhance our mission.”

Begari will be based in QB’s New York offices, reporting to QB CEO Ralf Roth. The firm has embarked on a plan to increase its staff by 50 percent during 2018 and continues to hire talent across multiple functions.

 

 

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