Fidelity on How to Find a Tailor-Fit Unicorn Data Scientist
Predictive Analytics World for Financial Services in Las Vegas, May 31-Jun 4 is honored to host an exceptional keynote by Fidelity Investments’ AI and Data Science Center of Excellence Leader, Victor Lo: "How to Find a Tailor-Fit 'Unicorn' Data Scientist for Financial Services". Use the code KDNUGGETS for a 15% discount on your Predictive Analytics World ticket.
Fidelity Investments’ Victor Lo to Keynote at PAW Financial 2020
Predictive Analytics World for Financial Services in Las Vegas, May 31-June 4, 2020 is honored to host an exceptional keynote by Fidelity Investments’ AI and Data Science Center of Excellence Leader, Victor Lo: "How to Find a Tailor-Fit 'Unicorn' Data Scientist for Financial Services".
Use the code KDNUGGETS for a 15% discount on your Predictive Analytics World ticket.
How to Find a Tailor-Fit “Unicorn” Data Scientist for Financial Services
With data scientists coming with all kinds of backgrounds and experience, how do you know which type you really need to meet your business needs? How many types of data scientist are out there? And where can you find them? What kinds of analytics can they provide for the financial services industry? Drawing from over 25 years of experience in the field with over two decades of management, Victor Lo will introduce a framework for the classification of data scientists and propose a mapping scheme between these talents and various types of projects.
Victor Lo
AI and Data Science Center of Excellence Leader, Workplace Investing
Fidelity Investments
Victor S.Y. Lo is a seasoned Big Data, Marketing, Risk, and Finance leader with over 25 years of extensive consulting and corporate experience employing data-driven solutions in a wide variety of business areas. He is actively engaged with causal inference and is a pioneer of Uplift/True-lift modeling, a key subfield of data science.
For academic services, Victor has been a visiting research fellow and corporate executive-in-residence at Bentley University. He has also been serving on the steering committee of the Boston Chapter of the Institute for Operations Research and the Management Sciences (INFORMS) and on the editorial board for two academic journals. He is also an elected board member of the National Institute of Statistical Sciences (NISS). Victor earned a master’s degree in Operational Research and a PhD in Statistics, and was a Postdoctoral Fellow in Management Science. He has co-authored a graduate level econometrics book and published numerous articles in Data Mining, Marketing, Statistics, Analytics, and Management Science literature, and is completing a graduate level book on causal inference in business.
Predictive Analytics World for Financial Services (Las Vegas May 31-June 4, 2020) features a powerful lineup of speakers. Plan now to attend the leading cross-vendor conference covering the deployment of machine learning by banks, insurance companies, credit card companies, investment firms, and other financial institutions.
