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Quantitative Brokers Launches Sydney Office, Expands to Offer 24 Hour Trading

Traders Magazine Online News, September 7, 2018

John D'Antona Jr.

Quantitative Brokers (QB), an independent provider of advanced algorithms and data-driven analytics to clients in the Futures and US Cash Treasury markets, announced that they have expanded into the Asia Pacific region with a new office in Sydney, Australia, and offering their services 24 hours a day, six days per week.

Quantitative Brokers is now available to its clients from 6 p.m. EST on Sundays to 5 p.m. EST on Fridays. Initially supporting the CME & ICE US, QB will subsequently expand to new exchanges across the Asia Pacific region, including ASX and JPX. QB will also support the extended coverage hours for Eurex commencing in December.

“Futures markets are global and operate around the clock. Trading in Asia Pacific financial markets and access to Western markets is key to how institutional investors manage risk and find alpha,” said Ralf Roth, CEO of QB. “Given Quantitative Brokers’ position as a leader in futures execution algorithms, this expansion is a natural and much anticipated extension of our services. Our world-class support desk is now truly global as we extend to a 24 hour offering and follow the sun coverage across three regions.”

QB’s Asia Pacific headquarters will be led by Christian Hauff, co-founder of QB. “I am thrilled to be establishing QB in Sydney - our second office in the Asia Pacific region and my homeland. We look forward to introducing our award winning agency algos to new clients in the region and applying our microstructure expertise via our forthcoming offerings on ASX and JPX,” he said.

Quantitative Brokers continues to rapidly expand, driven by growing demand for its algorithmic solutions and analytics from asset managers, hedge funds, CTAs and banks. Since Ralf Roth joined as CEO in December 2017, QB has increased its headcount by over 25 percent to 40 employees, which includes significantly growing its quantitative research team lead by Robert Almgren and its algo engineers and developers.

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