Top Voice in AI
About Gary Ang
A regulator turned independent. I developed Singapore's AI Risk Management Guidelines and now train and advise on AI risk management and governance in financial services, through Quaintitative.
Hi, I'm Gary Ang. I'm a regulator turned independent, a quant who illustrates, and someone who loves to design AI models but also write the rules that govern them. I'm still not sure how that happened.
Quaintitative - a play on quantitative and AI - is my independent practice, covering AI training, advisory, speaking, and research. My core focus is AI risk management and governance in financial services, with programmes extending to machine learning fundamentals, Agentic AI, and AI for domain professionals.
My training engagements span AIRG training and AI risk management for institutions including the Monetary Authority of Singapore (MAS), the Association of Banks in Singapore, the Wealth Management Institute, and the Singapore College of Insurance. I'm a module lead for Cambridge Centre for Alternative Finance's AI programme for global regulators, affiliate faculty and incoming adjunct at the Singapore Management University (SMU). I sit on Rutgers Business School's Masters of Quantitative Finance Advisory Board.
I'm also a pro bono advisor to the Institute of Banking & Finance (IBF), a co-author of a recently published paper on Agentic AI model risk management. Other projects: a paper on AI and workforce transformation for APAC with Asia Tech Alliance, a paper on Agentic AI evaluation, and applications for customising AI governance policies, controls, and competency testing.
I previously led AI risk supervision at the MAS, where I developed Singapore's AI Risk Management Guidelines (AIRG) - the country's first sector-wide AI risk framework for financial institutions. I also led the thematic review of banks that produced the 2024 Information Paper on AI Model Risk Management, which the AIRG builds on. I was also division head for investment risk management, overseeing risk management of Singapore's foreign reserves, and have deep expertise in Basel capital rules, banking and capital market policies, and model risk supervision. I was also a member of the Singapore Accreditation Council working group for the accreditation programme for ISO 42001 (AI Management Systems).
I hold a PhD in Computer Science from Singapore Management University (Presidential Doctoral Fellowship, 2022). My research focused on deep learning for networks, time series, and multimodal data, with publications at leading venues including ACL and ACM conferences. I also hold Masters degrees in Financial Engineering and Knowledge Engineering from NUS, and an Electrical Engineering degree from the University of Toronto.
I also illustrate professionally, with commissions from Wallpaper, Tatler, Jetstar, and the Esplanade.
Work with me
I train and advise financial institutions, regulators and boards on the AIRG and AI risk management. See the courses and workshops, read the writing, or get in touch. I am also publishing more on AI risk management in the coming weeks. Subscribe to get it.