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Dr. Philip Maymin

  • Top 50 Data and Analytics Professional
  • Analytics Consultant to NBA Teams
  • Editorial Roles with Algorithmic Finance, the Journal of Sports Analytics, and the Journal of Sports Betting
  • Professor of Finance and Analytics; PhD in Finance (UChicago); MS Applied Math and BA Computer Science (Harvard)
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Dr. Philip Z. Maymin is a Director of Asset Allocation Strategies at Janus Henderson. He is also an Associate Professor of Analytics and the Masters of Business Analytics Program Director at Fairfield Dolan. He is also the founding managing editor of Algorithmic Finance, the co-founder and co-editor-in-chief of the Journal of Sports Analytics, and the co-founder and...

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Dr. Philip Z. Maymin is a Director of Asset Allocation Strategies at Janus Henderson. He is also an Associate Professor of Analytics and the Masters of Business Analytics Program Director at Fairfield Dolan. He is also the founding managing editor of Algorithmic Finance, the co-founder and co-editor-in-chief of the Journal of Sports Analytics, and the co-founder and co-editor-in-chief of the Journal of Sports Betting. He is the CTO for Swipe.bet and has been an Insight Partner and Head of Insight Product with Essentia Analytics, an advisor to Athletes Unlimited, an affiliate of the Langer Mindfulness Institute, and an analytics consultant with several NBA teams.

He holds a Ph.D. in Finance from the University of Chicago (dissertation chair Richard H. Thaler), a Master’s in Applied Mathematics from Harvard University, and a Bachelor’s in Computer Science from Harvard University. He also holds a J.D. and is an attorney-at-law admitted to practice in California.

He has been a portfolio manager at Long-Term Capital Management, Ellington Management Group, and his own hedge fund, Maymin Capital Management.

He has also been a policy scholar for a free market think tank, a Justice of the Peace, a Congressional candidate, a professor of finance and risk engineering at NYU, a professor of analytics and finance at the University of Bridgeport, and an award-winning journalist and columnist.

He was a finalist for the 2010 Bastiat Prize for Online Journalism. He was awarded a Wolfram Innovator Award in 2015. He won the Wolfram Live Coding Challenge in 2016 and second place in 2018, and he won the Wolfram One-Liner Competition in 2015, 2016, 2018, and 2019. He was named one of the Top 50 Data and Analytics Professionals in the US and Canada by Corinium in 2018. He is the only person to have won both the Grand Prize for Best Research Paper (2018) and the Hackathon (2020) at the MIT Sloan Sports Analytics Conference.

His popular writings have been published in dozens of media outlets ranging from Bloomberg to Forbes to the New York Post to American Banker to regional newspapers, and his research has been profiled in dozens more, including The New York Times, Wall Street Journal, USA Today, Financial Times, Boston Globe, NPR, BBC, Guardian (UK), CNBC, Newsweek Poland, Financial Times Deutschland, and others.

His research on behavioral and algorithmic finance has appeared in Quantitative Finance, North American Journal of Economics and Finance, Journal of Portfolio Management, Journal of Wealth Management, Journal of Applied Finance, and Financial Markets and Portfolio Management, among others, and his textbook Financial Hacking was recently published by World Scientific.

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Dr. Philip Maymin in Media

Speaker Programs

Forecasting Greatness: The Automated General Manager
AI has made great strides in sports and is now able to outperform human decision making in drafting athletes. But even better is the combination of AI-assisted human judgment. This interactive talk makes the sports ...more
AI has made great strides in sports and is now able to outperform human decision making in drafting athletes. But even better is the combination of AI-assisted human judgment. This interactive talk makes the sports analytics models accessible, provides the audience with a broad framework of ideas, and helps them to think critically without blindly following the model, while making human judgement calls with the best available data for their goals. ...less
Sports Analytics
Data Analytics
Behavioral Decision Making
Behavioral Economics
Machine Learning, A.I. & ChatGPT
Evaluate Risks, Price Derivatives, Structure Trades, and Build Your Intuition Quickly and Easily

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