Using machine learning to generate alpha in financial markets is extraordinarily difficult. Barriers to entry for building predictive algorithms are daunting. Staying ahead of the market often requires dedicated teams of data engineers to build the algorithms, and reams of proprietary data to train them.
In this webinar Dr. Ernie Chan – an expert in the application of statistical models for trading securities who worked at IBM T.J. Watson Research Center’s Human Language Technologies group, Morgan Stanley’s Data Mining and Artificial Intelligence Group, and Credit Suisse’s Horizon Trading Group before founding PredictNow.ai – presents an alternative vision for financial machine learning. Dr. Chan explains how labor market data from the public web can train no-code ML software, so alpha-generating insights can be leveraged by non-technical experts.
This webinar is part of a series of global volatility virtual events featuring thought leaders in finance, business intelligence and data. It is brought to you by Thinknum Alternative Data in partnership with Slack's External Data Community channel and the Alternative Data Community Forum.
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Ernie is a noted quantitative hedge fund manager and quant finance author. Previously he has applied his expertise in machine learning at IBM T.J. Watson Research Center’s Human Language Technologies group, at Morgan Stanley’s Data Mining and Artificial Intelligence Group, and at Credit Suisse’s Horizon Trading Group. His papers and talks can be found at www.predictnow.ai/financial-machine-learning/ Find Ernie Chan on Twitter and LinkedIn.
Nancy Xin Man works as a quantitative researcher for Predictnow.ai Inc. and QTS capital management, LLC. She holds a master degree in Financial Mathematics from McMaster University, Canada.
Boris Spiwak is Director of Marketing at Thinknum and KgBase. Before joining Thinknum, Boris worked as a Financial Manager at Procter & Gamble's EMEA HQ in Geneva, Switzerland, and as VP Finance in one of Colombia's largest hotel chains. He holds degrees in Political Economy and Finance from Princeton, the London School of Economics, and HEC Paris. Originally from Venezuela, Boris has lived in over half a dozen countries. Find Boris Spiwak on Twitter and LinkedIn.