Alvin joined UOB about 12 years ago and currently heads the Enterprise AI function in the Data Management Office. In his current role, he is primarily responsible for driving AI and data analytics solutions to solve business challenges, and governing the ethical use of AI in the Bank.
Prior to this, he served in various roles, including in Investment Management, where he was primarily responsible for managing the Bank’s proprietary investments in hedge funds; in Finance, where his focus was on balance sheet optimisation, capital management and finance analytics; as well as in Corporate Banking, where he served as head of business management.
A Monetary Authority of Singapore scholar, Alvin began his career as an economist at MAS focusing on macroeconomic surveillance and financial stability research. He also served as a diplomat and Adviser to the Executor Director representing the Southeast Asia Voting Group at the International Monetary Fund in Washington DC, and was a Management Associate at Standard Chartered Bank where he focused on private equity valuation.
Alvin graduated with a double degree in Statistics and Economics (First Class) from the National University of Singapore. He also hold a MSc in Financial Economics from Oxford University Said School of Business and a MSc in Business Analytics from New York University Stern School of Business. He is currently pursuing his third Masters degree in Computer & IT from the University of Pennsylvania.
Roundtable 2
Invite-Only
Artificial intelligence (AI) presents the opportunity to revolutionise financial services, and change how operations, risk management, and customer engagement can be conducted. With most global financial institutions already embracing AI, the industry is poised for transformative change.
This roundtable promises a dynamic exchange of ideas between top regulators and leading financial institutions from Asia and Europe, focusing on the latest trends, challenges, and opportunities surrounding AI and its regulation on a global scale. Participants will delve into the dual perspectives: that of financial institutions striving to embrace this technology as swiftly as possible, and the regulator's viewpoint on the burgeoning demand for specific AI regulation.
Two key questions will be explored by participants:
- What can financial institutions expect from regulators as they navigate their AI journeys (including both hard laws and best practice guidelines)?
- How can we create the right conditions to catalyse responsible AI innovation and experimentation?
Through this discussion, we aim to uncover common ground and formulate a path that encourages and supports AI innovation and experimentation in financial services, while simultaneously establishing the necessary safeguards and mechanisms to ensure ethical and responsible AI practices.
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