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Norman Niemer is the Chief Data Scientist at UBS Asset Management (QED). He leverages alternative data, machine learning and AI to build investment signals and strategies and systematize fundamental investment processes. 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. 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. Prior to UBS, Norman worked as an investment analyst at Caxton Associates and Morgan Stanley as well as startup hedge funds and he even founded a tech company in high school! He holds a MS Financial Engineering from Columbia University and a BS in Banking and Finance from Cass Business School (London).