NTU forum to debate skills finance recruits will need as AI takes over
Source: Fintech News SG
NTU's 8 October FinTech Industry Day pairs industry speakers with a rethink of postgraduate training, as AI, data and security reshape what finance employers hire for.

Nanyang Technological University is staging FinTech Industry Day on 8 October, bringing finance executives and academics together to work through what AI and other tools are doing to the people who build and run financial products. The event sits alongside a set of postgraduate degrees at NTU's School of Physical and Mathematical Sciences, anchored by the Master of Science in Financial Technology.
The school has reshaped its master's offerings around a shifting jobs market: the fundamentals of finance have not lost their value, but the toolkit surrounding them has. Four programmes now sit under SPMS - financial technology, analytics, modelling and simulation, and cybersecurity with an applied cryptography focus. Each covers a different slice of the work, and the October gathering is built to show students how those slices connect inside real firms.
Within the financial technology master's, students pick one of two specialisations. Intelligent Process Automation takes the technical path, covering machine learning and automation for finance. Digital Financial Services examines how digital products behave once they are live. That split recognises a plain truth: whoever designs a product and whoever implements or maintains it rarely need identical skills.
Overlap is where the practical work lives. A credit model only helps a lender when the people around it grasp the logic behind each decision, and holding more data does not by itself produce better choices - banks still need analysts able to judge whether a pattern carries weight. Payments, meanwhile, stand or fall on security, and advances in quantum computing and AI are changing how institutions think about defending their infrastructure.
The speaker list shows how wide the field has grown. BNY, Moomoo Singapore, the Singapore Fintech Association, FOMO Group, Monee, Binance and PwC all take part, with an opening session on AI's effect on fintech followed by a panel that pulls back to AI, Web3 and the global plumbing of finance. For students, it is a chance to watch debates and connections that only emerge once ideas leave the classroom.
Why it matters for Singapore: The city-state's standing as a financial centre rests as much on its talent pipeline as on its rules, and degrees that braid together finance, AI, analytics and cryptography speak directly to that need. As regional demand for these blended skills grows, institutions able to produce graduates fluent in both sides of the divide will help decide where that work lands.


