Andreas Reinsch
About Andreas Reinsch
Andreas Reinsch is a Quantitative Trader and Researcher currently employed at Squarepoint Capital in Zug, Switzerland. He has a background in Physics, holding a Ph.D. from the University of Oregon and previously worked as a Trainee Quant Trader at Tibra Capital in London.
Work at Squarepoint Capital
Andreas Reinsch has been employed at Squarepoint Capital since 2015, where he holds the position of Quantitative Trader/Researcher. His role involves developing and implementing quantitative trading strategies, utilizing advanced mathematical models and data analysis techniques. Squarepoint Capital is known for its focus on quantitative research and trading, and Reinsch contributes to the firm's objectives through his expertise in quantitative finance.
Previous Experience at Tibra Capital
Before joining Squarepoint Capital, Andreas Reinsch worked at Tibra Capital as a Trainee Quant Trader from 2013 to 2015 in London, United Kingdom. During his two-year tenure, he gained practical experience in quantitative trading and research, which laid the foundation for his subsequent career in the field. His time at Tibra Capital provided him with valuable insights into trading strategies and market dynamics.
Education and Expertise
Andreas Reinsch studied at Ruprecht-Karls-Universität Heidelberg, where he focused on Physics and achieved a Vordiplom. He furthered his education at the University of Oregon, specializing in High Energy Physics, and earned a Doctor of Philosophy (Ph.D.) from 2005 to 2012. His academic background in physics equips him with strong analytical and quantitative skills, which are essential in his current role as a Quantitative Trader/Researcher.
Academic Background
Andreas Reinsch's academic journey began at Ruprecht-Karls-Universität Heidelberg, where he studied Physics and obtained a Vordiplom. He then pursued advanced studies at the University of Oregon, focusing on High Energy Physics. His doctoral studies spanned seven years, culminating in a Ph.D. This rigorous academic training has provided him with a solid foundation in quantitative analysis and problem-solving, applicable in financial markets.