Leonard Fister, PhD, Cfa
About Leonard Fister, PhD, Cfa
Leonard Fister, PhD, CFA, is a Risk Modeling & Analytics Specialist and Director at UBS in Zürich, Switzerland, where he has worked since 2020. He has a strong background in quantitative analysis and data science, having previously held positions at Credit Suisse and Rijksuniversiteit Groningen.
Work at UBS
Leonard Fister has been employed at UBS since 2020, serving as a Risk Modeling & Analytics Specialist and Director. His role focuses on developing and implementing risk models and analytics strategies. He operates out of Zürich, Kanton Zürich, Schweiz, and has accumulated four years of experience in this position. His expertise contributes to the firm's ability to manage financial risks effectively.
Previous Experience at Credit Suisse
Prior to his current role, Leonard Fister worked at Credit Suisse as a Senior Quantitative Analyst from 2016 to 2020. During this four-year tenure in Zürich und Umgebung, Schweiz, he was responsible for analyzing quantitative data and developing models to support risk management and decision-making processes.
Academic Background
Leonard Fister completed his Ph.D. in theoretical/computational physics at Ruprecht-Karls-Universität Heidelberg from 2009 to 2012, graduating summa cum laude. He also holds a Master's degree in physics from Karl-Franzens-Universität Graz, which he earned with the highest distinction from 2003 to 2009. His academic background provides a strong foundation for his analytical and quantitative skills.
Research Experience
Leonard Fister has a diverse research background. He worked as a Research Associate at TU Darmstadt from 2010 to 2012, where he contributed to various projects in physics. He also served as a Researcher at CEA - Commissariat à l'énergie atomique et aux énergies alternatives from 2013 to 2016 in Gif sur Yvette, France. These roles enhanced his expertise in data analysis and modeling.
Role as Lead Data Scientist
In 2016, Leonard Fister held the position of Lead Data Scientist at Rijksuniversiteit Groningen for one year. In this role, he was involved in leading data-driven projects and applying advanced analytical techniques to solve complex problems, further showcasing his capabilities in data science and analytics.