Peter Schötz

Peter Schmidt is a quantitative researcher with a strong background in alpha generation and portfolio optimization. Currently employed at Qube Research & Technologies since May 2022, Peter previously held positions at IKOS CIF Limited and ICFO, where Peter focused on research and implementation of statistical and machine learning strategies. Peter's early experience includes an internship in business strategy at Infineon Technologies and a research stay at the University of Alberta, emphasizing analytical simulations. Educational qualifications include a Master of Science in Mathematics and Finance from Imperial College London, a PhD in Physics from Universitat Politècnica de Catalunya, and relevant degrees in Physics from Ludwig-Maximilians-Universität München. Additionally, Peter has contributed to academia by supervising master’s and internship students during a PhD program.