Adventures in Financial Data Science byGraham Giller
- Adventures in Financial Data Science
- Graham Giller
- Page:430
- Format: pdf, ePub, mobi, fb2
- ISBN:9781666203851
- Publisher:Barnes & Noble Press
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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."
So you want to be a data scientist in finance
Do you want a job in data science in the finance industry? In addition to his consulting and advisory activities, he lectures on statistical 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 Adventures in Financial Data Science: The - Google Play
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Adventures in Financial Data Science, Holmdel, New Jersey. 5 likes · 5 talking about this. Graham Giller is one of Wall Street's original data Adventures in Financial Data Science - Book - iTunes United Kingdom
This book is briefly a biography but mostly a narrative of Graham's research in the fields of financial, economic, and alternative data. Advice for Early Career Data Scientists | Adventures in Why
One of the things I love most about data science is how many other fields it touches: e-commerce, marketing, finance, engineering, Loyola Adventures in Urobiome Data
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If you like this article and would like to read more of my work, consider my book Adventures in Financial Data Science. It is available for Kindle, Machine learning in finance: Why, what & how | by Konstantin
Machine learning in finance may work magic, even though there is no magic behind Data scientists train machine learning models with existing datasets and then can be eliminated, inefficient HR activities, flaws of the mobile banking app, Graham Giller - Chief Executive Officer - Giller Investments
Since 1995, I have worked on the quantitative analysis of financial data and the application of that As the manager of the Data Sciences Group at Bloomberg LP I was the Chief Data Scientist for Activities and Societies: College Pool Team.
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