Chief Risk Officer，AllianceBernstein
Andrew Y. Chin is the Chief Risk Officer and Head of Quantitative Research for AB (formerly AllianceBernstein), a premier asset management firm with about $500B in assets under management. As the Chief Risk Officer, Andrew oversees a global team charged with all aspects of risk management to ensure that the risks being taken are well understood and appropriately managed. In 2016, Andrew secured Risk.net’s award for Asset Manager of the Year for Operational Risk for AB by transforming the risk management team to be more effective in identifying, managing and mitigating the risks within the organization. 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.
Andrew joined AB in 1997 and held various quantitative research and portfolio management roles in New York and London. Prior to joining the firm, he was a project manager and business analyst in Global Investment Management at Bankers Trust.
At AB, Andrew started the Asians Employee Resource Group to celebrate and draw on the strengths of the Asian culture while advancing the memberships’ personal and professional growth. Outside of AB, Andrew serves in various leadership capacities. He is a co-founder of the Ascend-CEI NY Chapter. Ascend CEI members are committed to the development of senior talent within the Pan-Asian corporate community. Andrew is the Vice President of the GARP – Buy side Risk Managers Forum, a group of Chief Risk Officers from the largest asset managers who promote best practices for the risk management function. Andrew serves on the Board of Directors for the Society of Quantitative Analysts, an organization dedicated to the dissemination and discussion of leading-edge ideas and innovations in quantitative finance. Finally, Andrew teaches the Asset Management course in Cornell University’s School of Operations Research and Information Engineering (Master of Financial Engineering Program) and leads teams of students on capstone projects utilizing quantitative and data science skills to address investment issues.