Leo Lam has a diverse background in finance and technology, holding various analytical and development roles across notable firms. Beginning with a summer internship at Morgan Stanley in 2006, Leo progressed to an analyst position at Lehman Brothers in 2008, and later served as an analyst at Deutsche Bank from March 2011 to January 2013, focusing on quantitative analytics. Following a role as a quantitative developer at Merrill Lynch from January 2013 to July 2015, Leo was involved in quantitative strategy at Asset Management One USA Inc. from July 2015 to June 2022. Currently, Leo is a machine learning software engineer at Meta, starting in June 2022. Educationally, Leo holds a Master of Philosophy and Bachelor of Engineering from The Chinese University of Hong Kong, a degree in Mathematics and Computer Science from the University of Illinois Urbana-Champaign, and a Master's in Financial Engineering from Cornell University.
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