Adventures in Financial Data Science: The empirical properties of financial data and some other things that interested me… by Graham L. Giller
Requirements: .PDF reader, 15.3 MB
Overview: Graham Giller is one of Wall Street’s original data scientists. Starting his career at Morgan Stanley in the UK, he was an early member of Peter Muller’s famous PDT group and went on to run his own investment firm. He was Bloomberg LP’s original data science hire and set up the data science team in the Global Data division there. He them moved to J.P. Morgan to take the role of Chief Data Scientist, New Product Development, and was subsequently Head of Data Science Research at J.P. Morgan and Head of Primary Research at Deutsche Bank.
The book begins with entertaining tales from his career in finance, starting with speculating in UK government bonds at Oxford Post Office, accidentally creating a global instant messaging system that went “viral” before anybody knew what that meant, on being the person who forgot to hit “enter” to run a hundred-million dollar statistical arbitrage system, what he decoded from brief time spent with Jim Simons, and giving Michael Bloomberg a tutorial on Granger Causality.
Genre: Non-Fiction > General
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