Ajay Somani is a quantitative trader with fifteen years experience in the hedge fund industry in the financial hubs of Chicago and New York City. He has expertise in trading a variety of asset classes including energy, power, options, equities, futures and FX. Ajay uses his deep insight of market mechanics and machine learning techniques to power his algorithms which range from high frequency market making to lower frequency statistical arbitrage trades. Ajay grew up in India and studied for his undergraduate degree at the prestigious Indian Institute of Technology (IIT) in Mumbai. He earned his PhD in Materials Science and Engineering from Massachusetts Institute of Technology (MIT) where he worked on fabricating 3D Integrated Circuits (ICs) and analyzing the environmental impact of the semiconductor manufacturing process. His side gig at MIT, which was his coursework in the financial technology option (FTO) program, led him to his later career path.
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