What can financial analysts learn from computer scientists about data science? And can computer scientists change their approach to appeal to finance professionals? Data scientists typically argue about the relative merits of the statistical and algorithmic approaches to data mining (Leo Breiman – The Two Cultures). Anyone who has done data science in applied finance (trading, sell-side research, portfolio management) recognizes that there is a third culture that is radically different from the other two. This video explores these cultures and assesses why it is important that we bridge the gap between the traditional data science cultures and applied finance – the third culture.