Zoltán is a quantitative researcher with a background in mathematics, machine learning, and computer science. He has a Mathematics and Software Design MSc from Eotvos Lorand University, Budapest, and a Computer Science MSc from Vrije Universiteit, Amsterdam. He did machine learning research at the University of Helsinki, Vrije Universiteit Amsterdam and in Budapest. He joined a data science team at Morgan Stanley in 2010. In his role, as a quantitative researcher, he was doing modeling for algorithmic bond trading. Since 2016, he is working as a quantitative researcher and portfolio manager at Causality, an algorithmic trading company. In that role, he is using machine learning to develop and apply fully automated trading strategies.