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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. The majority of the content is a narrative of analytic work done on financial, economic, and alternative data, structured around both Graham's professional career and some of the things that just interested him. The goal is to stimulate interest in predictive methods, to give accurate characterizations of the true properties of financial, economic and alternative data, and to share what Richard Feynman described as "The Pleasure of Finding Things Out." When viewing a draft of the manuscript, ex-Morgan Stanley colleague remarked "I might pay you quite a lot to not publish —that's a lot of insight into what works and what doesn't."
Graham Giller (Author of Adventures in Financial Data Science)
Graham Giller is the author of Adventures in Financial Data Science (0.0 avg rating, 0 ratings, 0 reviews)
Adventures in Financial Data Science - Home | Facebook
Adventures in Financial Data Science, Holmdel, New Jersey. 5 likes · 5 talking about this. Graham Giller is one of Wall Street's original data
Skander Soltani's Best Adventures - Master of Science in
For Skander Soltani the best adventure is jumping on his motorcycle and the rigor, these prepared me for the ambiguity I have found in finance,” Skander said. Skander has recently changed roles at Schwab; he is now a data scientist.
Computational Sciences and Informatics, PhD < George
The research and teaching activities associated with the program reflect the recognized role of computation and data analysis as part of a triad with theory and
Adapting Granger Causality for the Reality of Markets | by
One of the strongest messages of my experience in financial data science, which I have written about in my book Adventures in Financial Data
Markets may not be perfectly efficient, but they're not stupid
I've been working in the field of using alternative data to predict more of my work, consider my book Adventures in Financial Data Science.
Careers - Rivian
Adventure here is a mindset. Plant Accountant. Finance. United States, Illinois, Normal Senior Supplier and Manufacturing Reliability Data Scientist.
Adventures in Financial Data Science - Buch - iTunes Schweiz
It contains extensive analysis of the true empirical properties of financial data and a detailed exploration of topics including Stock Market Prices, Treasury Bill
Inflation – Adventures in Data Science – Medium
This is a “narrative portfolio.” Data science, done for the pleasure of finding things out. There is much more content like this in my book, Adventures in Financial
Taming the Financial Beast – Adventures in Financial Data
For me, this multi-year adventure has been not just a hobby/obsession, but one of the single greatest motivations/excuses for learning data science. It is such a
Bonnie Desmond - Activities Director - Desmond Adventures
Activities Director at Desmond Adventures. Desmond Adventures Prepare numerous statistical analytics including monthly HR Metrics; Ad Hoc reporting and Create, review and present month end financial data at CNO group meetings.