QI appoints new Advisory Board members
Appointments to support global expansion and academic rigour of existing AI and machine learning quant models
London, 1 November 2017 – Quant Insight, the macro research firm providing discretionary asset managers with actionable investment ideas, today announced the appointment of Ryan Adams, Professor of Computer Science at Princeton University, and Duncan Clark, Chairman of BDA China, to its advisory board. The appointments add further academic rigour to Quant Insight’s analytics models and will support future expansion to Asia.
Launched in January 2017 following three years of technological development, Quant Insight (QI) is a macro research firm that provides quantitative analysis and actionable investment ideas to hedge funds, asset managers, pension funds and wealth managers. QI combines investment expertise with high-quality data, proprietary algorithms and AI driven machine learning models, helping institutional investors make sense of complex trading environments, make better investment decisions and ultimately improve performance. The QI platform is the result of three years of extensive collaboration between experienced traders and macro investors, data scientists and mathematical models developed in collaboration with leading academics at Cambridge University.
Ryan Adams is a Professor of Computer Science at Princeton University. From 2011-2016, Ryan was an Assistant Professor at Harvard University in the School of Engineering and Applied Sciences. Ryan has a Ph.D. in physics and was co-founder and CEO of Whetlab LLC, a machine learning startup that was acquired by Twitter in 2015.
Duncan Clark is Chairman of BDA China, an investment consultancy company he founded in Beijing in 1994. Prior to BDA, Duncan worked as an investment banker with Morgan Stanley in London and Hong Kong. Duncan serves as a Global Trustee of the Asia Society in New York and is an independent director of Bangkok Bank (China) in Shanghai.
Commenting on the appointment of the new advisory board members, Mahmood Noorani, Founder, Quant Insight, said: “When we launched, we set out to provide analytics and actionable trade ideas to active managers to help them outperform their passive peers. We bring together human expertise and best-in-class AI & machine learning technology and we are delighted that both Ryan and Duncan join our advisory board today, to further strengthen an already impressive lineup of the very brightest minds in this field.”
Mahmood adds: “Ryan adds yet more academic rigour to Quant Insight’s advisory board, and his own career displays a strong commercial acumen which can help QI constantly refine their process and stay at the leading edge of the technological landscape. Likewise, Duncan’s knowledge on how businesses make technology work for themselves and their clients is unparalleled. His reputation in China will be invaluable in helping QI expand its footprint in Asia.”
Ryan Adams, Professor of Computer Science at Princeton University, comments: “The work that Quant Insight is doing in the macro research and quantitative analytics field is truly impressive and I am delighted to contribute to QI’s development as part of the advisory board. QI gives discretionary managers a set of tools previously only available to in-house armies of quants, to help them understand what is driving markets and identify optimal trade ideas in the pursuit of alpha.”
About Quant Insight
Quant Insight is a macro research firm that provides quantitative analysis and actionable investment ideas to hedge funds, asset managers, pension funds and wealth managers. Our investment expertise, combined with high-quality data, proprietary algorithms and AI driven machine learning models helps investors make sense of complex trading environments and make better investment decisions.
Designed to help active managers evaluate and validate investment decisions, Quant Insight analyses data sets for 6,000 thousand securities across all major asset classes to uncover the macro factors driving the price of the assets traded and identify regime changes before the market narrative shifts. Using the QI analytics tool, portfolio managers are now able to identify actionable trade ideas and create bespoke hedging strategies designed to enhance execution performance. Simple to use and easy to integrate, the QI Platform ultimately offers a fact-based, smarter approach to any investment process and the ability to remain agile in a competitive environment.
Launched in January 2017 following three years of technical development, Quant Insight is the result of extensive collaboration between experienced traders and macro investors, data scientists and mathematical models developed by leading academics in Cambridge University’s Astrophysics Group led by Professor Michael Hobson.