Chief Data Scientist, UBS Asset Management, QED

Norman Niemer is the Chief Data Scientist within UBS Asset Management’s Quant & Data Science (QED) team where he delivers data-driven investment insights. He is also responsible for both the business as well as technical aspects of multiple innovation projects that augment human decision makers with machine intelligence.

Prior to UBS Asset Management, Norman led the data science efforts at UBS O’Connor, worked as an investment analyst at Caxton Associates and Morgan Stanley and even founded a tech company in high school. Outside of investment management, he has led teams that built data- and AI-based products that won several high profile hackathons including Techcrunch NY, Fintech NY and Mastercard Masters of Code NY. He holds a MS Financial Engineering from Columbia University and a BS in Banking and Finance from Cass Business School (London).