Oleg Szehr possesses over multiple years of professional experience both a as researcher and an investment banking Quant. For his doctoral studies in Mathematics OS won a full scholarship by the Bavarian academy of sciences, which led him to a PostDoc stay at the DAMTP at the University of Cambridge. Subsequently, OS joined the investment bank of Credit Suisse, followed by consulting roles with firms like SEB, AGI, Aareal Bank and research stays in Financial Mathematics at the University of Vienna. OS is currently a senior research scientist at the Swiss AI lab IDSIA, where he has taken the scientific lead in various research collaborations with UBS.
This paper applies the Monte Carlo tree search as a method for replication in the presence of risk and market friction