Oleg Szehr


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.

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Articles by Oleg Szehr

Overfitting in portfolio optimization

The authors measure the performance of sample-based rolling-window neural network (NN) portfolio optimization strategies and demonstrate that correctly set up NN-based strategies can outperform the 1/N strategy.

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