Elad Oz

I am an aspiring quantitative researcher and trader based in Hong Kong, focusing on the integration of supervised and unsupervised machine learning tools into financial modelling, as well as the design of efficient, robust software to implement such models in a trading environment. I am passionate about statistics as a tool to better understand complex phenomena and to engineer the systems that interact with them. Throughout my career to date, I've mostly enjoyed time series modelling and forecast and unsuperised clustering the context of predictive modelling, risk control, and portfolio optimization. I hope to dive deeper into time series modelling as well as explore the world of natural language processing and its powerful information extraction capabilities in the context of trading.