AMA Career Online Talk Series: Impactful Data Science and Analytics Topics for Industry Applications

Dr. Victor S.Y. Lo is a seasoned Big Data, Marketing, Risk, and Finance leader with close to 28 years of extensive consulting and corporate experience in the US, employing data-driven solutions in a wide variety of business areas, including Customer Relationship Management, Market Research, Advertising Strategy, Risk Management, Financial Econometrics, Insurance Analytics, Product Development, Healthcare Analytics, Operations Management, Intelligent Automation, Transportation, and Human Resources. He is actively engaged with causal inference and is a pioneer of Uplift/True-lift modeling, a key subfield of data science. Dr. Lo has managed teams of quantitative analysts in multiple organizations. He is currently SVP of Data Science & AI, Workplace Investing at Fidelity Investments. Previously he managed advanced analytics/data science teams in Personal Investing, Corporate Treasury, Managerial Finance, Healthcare & Total Well-being, and Workplace Investing at Fidelity Investments. Prior to Fidelity, he was VP and Manager of Modeling and Analysis at FleetBoston Financial (now Bank of America), and Senior Associate at Mercer Management Consulting (now Oliver Wyman).   Dr. Lo earned a Higher Diploma in Mathematics, Statistics, and Computing at The Hong Kong Polytechnic University, an MSc in Operational Research from Lancaster University Management School, U.K., and a PhD in Statistics from the University of Hong Kong, and was a Postdoctoral Research and Teaching Fellow in Management Science, Sauder School of Business at the University of British Columbia, Canada.