Presented By
O’Reilly + Intel AI
Put AI to Work
April 15-18, 2019
New York, NY
Andrew Chin

Andrew Chin
Chief Risk Officer and Head of Quantitative Research, AllianceBernstein

Website

Andrew Y. Chin is the Chief Risk Officer and Head of Quantitative Research for AB. As the Chief Risk Officer, Chin oversees all aspects of risk management to ensure that the risks being taken are well understood and appropriately managed. In the Quantitative Research role, he is responsible for the firm’s data science strategy and for optimizing the quantitative research infrastructure, tools and resources across the firm’s investing platforms. He joined the firm in 1997 and held various quantitative research roles in New York and London. In 2004, Chin became a senior portfolio manager for Style Blend Equities. In 2005, he was named director of Quantitative Research for Value Equities. Prior to joining the firm, Chin was a project manager and business analyst in Global Investment Management at Bankers Trust from 1994 to 1997.

Chin teaches in the School of Operations Research and Information Engineering (Master of Financial Engineering Program) at Cornell University. He also leads teams of students on capstone projects utilizing quantitative and data science skills to address investment issues.

Chin earned a BA and an MBA from Cornell University.

Sessions

2:40pm3:20pm Wednesday, April 17, 2019
AI Business Summit, Case Studies
Location: Sutton North/Center
Secondary topics:  AI case studies, Financial Services
Andrew Chin (AllianceBernstein), Celia Chen
Overview of data science applications within the asset management industry Specific use cases using ML to derive better investment insights and improve client engagement Read more.