Meet the Manager

Andrew Chin

23 April 2018
2 min watch
How Do You Approach Risk?
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    | Chief Artificial Intelligence Officer
    Transcript

    AB’s Chief Risk Officer and Head of Quantitative Research shares his perspectives on the research behind the development of prime alpha.

    We have to take risk to make money for our clients; we have to take risk [for the] research process and the investment process. So risk is not something to be avoided, but it’s something to be managed.

    What you want to do is have a comprehensive framework, and you want risk managers who really understand the strategies that we have and tailor their approaches to the investment teams. This allows the risk managers to be creative in terms of how they interact with the investment teams. It allows them to really understand the nuances of what the teams do.

    The idea is not that, you know, shocking. It’s something that’s intuitive to investors. By removing factor exposures like value and growth, investors understand that that isolates a manager’s skill better, so this idea is being embraced by the industry. What hasn’t been done is just the research and the rigor that we went through in our research to prove that this idea actually works.

    I originally wanted to call this “idiosyncratic alpha,” but the marketers thought that was too “quant-y” and too geeky, and they said, “No, you cannot have that.” So I went back and I said, “What should I do?” One day I was eating in a restaurant and I ordered prime steak, because “prime” suggested a certain level of quality for the meat. And I said, “Perfect! This is exactly what investors are looking for: returns that they can eat.” Actually, no, what investors are really looking for are returns that are high quality and replicable. And that’s exactly what prime does; prime has that connotation.

    I think in finance, the power that we all aspire [to] is to predict the future. Who wouldn’t want to know which market’s going to outperform, which stock’s going to outperform? So that’s a power that I want. Prime alpha gets me closer to that. It’s not a silver bullet, but it helps me identify the best managers out there and, therefore, hopefully help me predict what’s going to happen.


    About the Author

    Andrew Chin is Chief Artificial Intelligence (AI) Officer and a member of the firm’s Operating Committee. In this role, he leads the firm’s strategy to leverage AI in transforming the organization and driving better outcomes for clients and the firm. Previously, Chin was the Head of Investment Solutions and Sciences, overseeing the research, management and strategic growth of the firm’s asset-allocation, data science, index and tax-management businesses. From 2022 to 2023, he was the head of Quantitative Research and chief data scientist, developing and optimizing quantitative research and data science infrastructure, capabilities and resources across the organization. As the firm’s chief risk officer from 2009 to 2021, Chin led all aspects of risk management and built a global team to identify, manage and mitigate the various risks across the organization. He has held various leadership roles in quantitative research, risk management and portfolio management in New York and London since joining the firm in 1997. Before joining AB, Chin spent three years as a project manager and business analyst in global investment management at Bankers Trust. He holds a BA in math and computer science, and an MBA in finance from Cornell University. Location: New York