Qube Research & Technologies
Tien-Vinh NGUYEN is a quantitative trading researcher at Qube Research & Technologies since September 2021, focusing on machine learning alpha strategies for systematic trading, particularly in natural language processing. Prior to this role, Tien-Vinh served as a machine learning researcher at Shift Technology from July 2019 to September 2021, where contributions included designing automated claims decision systems and frameworks for document understanding. Experience as a teaching assistant at École Polytechnique between September 2016 and June 2019 involved teaching advanced mathematical subjects and supervising a science festival. Tien-Vinh also worked as a quality assurance technician at Safran in 2014, handling statistical analysis and process documentation. Educational qualifications include a PhD in Applied Mathematics from École Polytechnique, a Master's degree in Mathematics from Paris-Sud University, an engineer's degree in Applied Mathematics from École Polytechnique, and a Bachelor's degree from Vietnam National University, Hanoi.
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Qube Research & Technologies
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Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. We currently have multiple open positions on our website, please get in touch! Our commitments: https://www.qube-rt.com/commitments