Rob Graumans

Rob Graumans is a data scientist and supervisor at the Autoriteit Financiële Markten, specializing in market surveillance algorithms and addressing market abuse within the Capital Markets division. With a strong interest in the effects of algorithmic trading on capital market microstructure, Rob's experience includes a secondment at FINRA, where a machine learning model was developed to detect market abuse in option transactions. Previous roles include trading at BMD² Capital during significant market events, investing at Graumans Investments, and gaining journalistic experience at Elsevier. Rob holds a Master's Degree in Philosophy of Science from The London School of Economics and two Bachelor's Degrees in Business Administration and Philosophy of Science from the University of Groningen. Additional coursework has been pursued through Coursera.