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Quantitative Brokers opens UK office

First Published 29th January 2014

QB opens UK office, appoints senior hedge fund professional to service its non-US clients.

Jonty Field, head of EMEA, Quantitative Brokers

Jonty Field, head of EMEA, Quantitative Brokers

"QB's unwavering drive to understand the nuances of market behavior and to anticipate execution demands provides a fantastic opportunity."

New York - Quantitative Brokers (QB), a best execution algorithmic broker for interest rates, has hired hedge fund professional Jonathan (Jonty) Field to head its EMEA business.

Field, 35, joins QB from European hedge fund, AHL, where he led the Trading Analytics team. He has spent the last decade developing algorithmic execution strategies, including the tools to monitor and systematically benchmark execution performance.

"The appointment of Jonty Field to head up our presence in the region reflects QB's commitment to meeting the intensifying European buy-side interest in best execution for interest rates," said Christian Hauff, CEO of Quantitative Brokers. "Optimal trade execution and reducing slippage is no longer the preserve of the equities markets and this mindset will continue to spread rapidly across the global interest rate and futures markets in the months and years ahead."

"It's exciting to be joining Quantitative Brokers at this stage of rapid market evolution," said Field. "Delivering best execution is central to my experience. As a result, QB's unwavering drive to understand the nuances of market behavior and to anticipate execution demands provides a fantastic opportunity. Judging by the pedigree of the current client list, I'm not alone in realizing this."

QB provides four agency algorithmic strategies: Bolt, which aims to beat the "arrival price" i.e. bid-offer midpoint at the start of the order; Strobe, which uses model-generated tolerances to optimize volume- weighted average price (VWAP) and time-weighted average price (TWAP) performance; Roll, specifically designed for executing calendar spreads; and Legger, an inter-commodity multi-leg algo for arbitrary number of legs and size ratios.

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