About the swissQuant Group
swissQuant Group develops and delivers intelligent technology products and provides complementary or stand-alone services and consultancy surrounding these Quant-based technologies. Our focus on the core and long-term needs of our clients, makes us the partner of choice for local and international financial and industrial clients, including a number of global Fortune 500 companies.
Having realized over 250 projects makes swissQuant a trusted leader in digital transformation. Our success lies in the strongly research-based application of client relevant Intelligent Technology, and the resulting translation into measurable, bottom-line value. Our exceptional Quant-DNA builds the foundation of a unique proposition to provide industries such as Private Banking, Clearing Systems, Asset-Management, Insurance and Health Care with the necessary tools to optimally shape their core business by streamlining processes, exposing hidden growth opportunities and avoiding unnecessary risk.
With currently over 80 committed quant engineers, mathematicians and physicists, we pride ourselves in taking the most complex business needs and transforming them into a customized digital strategy which provides our clients with a sustainable value proposition for tomorrow.
swissQuant Group is a privately held company based in Zurich and London. Since its spin-off from ETH in 2005, it has been serving a diverse and international client base with non-biased and strong R&D based digital innovation.
Intelligent Technologies and sophisticated methodologies for global leaders
Highly dedicated team
Committed solution providers with the fascination for applied sciences.
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Behind swissQuant
Dr. Lorenz M. Schumann
Chairman
Founder, entrepreneur and member of several boards across various industries. Business leader with international industrial experience in the energy and consumer goods sectors. Investment Manager with long track-record of large size investment portfolios and comprehensive risk management capabilities.
Thomas Gross
Member
Owner and Chairman of a production company. Partner in an IT company focused on the health care industry. Self-employed consultant in his company in Winterthur. Previously Head Securities Operations with a large bank, thereafter CEO of a Swiss provider of financial information and as such Division Head and Member of the Executive Board of the Group.
Patrick Z’Brun
Member
Entrepreneur and member of several boards across various industries as well as Founder of a foundation. Business leader with proven competences and substantial entrepreneurial experiences in the industry and Life Science sector.
Dr. Lorenz M. Schumann
Chairman
Founder, entrepreneur and member of several boards across various industries. Business leader with international industrial experience in the energy and consumer goods sectors. Investment Manager with long track-record of large size investment portfolios and comprehensive risk management capabilities.
Prof. Dr. Artur Avila
Member
Artur Avila is full professor of mathematics at the University of Zurich. His research focuses on the fields of dynamical systems and spectral theory. For his profound contributions to these research fields he was awarded the Fields Medal – the equivalent of a Nobel Prize in mathematics – at the age of 35.
Prof. Dr. Ashkan Nikeghbali
Member
Full Professor for Mathematics, Universität Zürich. Expert in Mathematical Finance, Random matrix theory, limit theorems for complex systems, Analytic number theory.
Prof. Dr. Alessio Figalli
Member
Alessio Figalli is a Professor in Mathematics at ETH Zurich, and the Director of the FIM (Institute for Mathematical Research) at ETH. After a joint Phd in Mathematics at SNS Pisa (Italy) and ENS Lyon (France) in 2007, he was a professor in France and the US, before moving to ETH Zurich in 2016. He works on several topics in mathematics, including Calculus of Variations, Optimal Transportation, and Partial Differential Equations. For his achievements, he was awarded the Fields Medal in 2018.
Prof. Dr. Michael Wolf
Member
Michael Wolf is a Professor of Econometrics and Applied Statistics at the University of Zurich and holds a Ph.D. in Statistics from Stanford University. Michael’s research interests include resampling-based inference, multiple testing methods, the estimation of large-dimensional covariance matrices, and financial econometrics.
His research has been published in leading journals such as The Annals of Statistics, Biometrika, Econometrica, Journal of the American Statistical Association, and The Review of Financial Studies.