Webinar

Quant Trading Webinar

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Interested in learning how to build systematic strategies to trade company events including mergers, stock buybacks, spin offs, bankruptcies, IPOs, and more? 

Please join Bloomberg Specialists on April 4th to gain a better understanding of how to backtest and implement systematic event-driven trading strategies. Our Specialists will walk through a Jupyter notebook to backtest a merger arbitrage strategy and build a machine learning model to enhance the risk/return profile. The relevant data points for other event-driven strategies as well as practical considerations for implementing those strategies in live trading with real-time data feeds will also be covered.

Speakers

Norman Niemer

Global Head of Quant & Data Science

Bloomberg

Norman manages the Quant and Data Science teams within Bloomberg Enterprise Data. Prior to joining Bloomberg LP, Norman was the Chief Data Scientist at UBS Asset Management and he started his career as an investment banking analyst at Morgan Stanley. Outside of investment management, he has led teams that have built data- and AI-based products that won several high profile hackathons. Norman holds a MS in Financial Engineering from Columbia University, a BS in Banking and Finance from City University London and is currently pursuing the program for leadership development at Harvard Business School.

Dominick D'Angelo

Enterprise Data Product Manager

Bloomberg

Dominick oversees product development for Bloomberg's Enterprise Data solutions for Cash Equity and Entity Reference Data, as well as Economics. He joined Bloomberg's Analytics Department in 2009, where he managed Foreign Exchange, Commodities, and Structured Cash Flow Product teams. Dominick holds a Bachelor of Arts in Finance from Muhlenberg College, and a Masters in Business Administration from Fordham University.

Nakul Nair

Data Science Specialist

BloombergNEF

Nakul focuses on quantitative research solutions across the entire Bloomberg Enterprise Data offering. Previously, he lead natural gas market analysis for BloombergNEF. Nakul has an MS in engineering from Columbia University and a BS in Geophysics from Imperial College London.

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