Maximilian Adelmann
About Maximilian Adelmann
Maximilian Adelmann is a Quantitative Analyst at UBS in Zürich since 2019, with a background in quantitative business administration and economics. He has held various academic and advisory roles, including positions at the University of Zurich and OLZ & PARTNERS.
Work at UBS
Maximilian Adelmann has been employed as a Quantitative Analyst at UBS since 2019. His role involves applying quantitative methods to analyze financial data and support investment strategies. He works in Zürich, Kanton Zürich, Schweiz, contributing to the firm's analytical capabilities for over five years.
Education and Expertise
Maximilian Adelmann holds a Doctor of Philosophy (PhD) in Quantitative Business Administration from the University of Zurich, where he studied from 2013 to 2017. He also earned a Master of Arts (M.A.) in Management and Economics from the same institution, completing his studies from 2009 to 2012. Additionally, he has a Bachelor of Arts (B.A.) in Economics from the University of St.Gallen, obtained between 2004 and 2009. He participated in an exchange semester at Copenhagen Business School in 2006.
Background
Maximilian Adelmann has a diverse professional background in academia and finance. He served as a Teaching and Research Assistant at the University of Zurich from 2012 to 2017. He also worked as a Scientific Advisor at OLZ & PARTNERS Asset and Liability Management AG from 2014 to 2017 and held a position as a Postdoctoral Researcher at the University of Zurich for ten months in 2017. Before joining UBS, he was a Senior Quant Engineer at AAAccell - Trusted Innovation from 2018 to 2019.
Professional Experience
Throughout his career, Maximilian Adelmann has accumulated significant experience in quantitative analysis and financial research. His previous roles include working as a Teaching and Research Assistant and a Postdoctoral Researcher at the University of Zurich, as well as serving as a Scientific Advisor at OLZ & PARTNERS. His experience at AAAccell as a Senior Quant Engineer further solidified his expertise in quantitative methods within the financial sector.