Milos Tomic studied Mathematics & Statistics at University of Warwick where he focused on mathematical analysis (PDE’s), probability theory, stochastic analysis, and Bayesian statistics. He currently works at a Quantitative Hedge Fund as a Quantitative Researcher (Quant). At his work he researches and builds sophisticated trading strategies by implementing stochastic and machine learning models (ML) for statistical arbitrage. Previously he was a Data Scientist building ML models from massive datasets that were used to increase the volume of mortgage originations.