Singapore commits $173M to accelerate fintech innovation

Singapore is committing S$220 million (US$173 million) over three years to accelerate innovation within its fintech sector, signaling continued investment in the industry’s growth, Singapore FinTech Association says. The funding will co-fund at least 1,000 internships through the Financial Sector Technology and Innovation Scheme, building a pipeline of talent focused on areas like artificial intelligence.

This initiative follows a year where fintech investments reached S$2.9 billion, according to the Monetary Authority of Singapore. Deputy Prime Minister and MAS chairman Gan Kim Yong said this was particularly critical in the fintech industry given its new and rapidly evolving nature.

FSTI 4.0 Funds 1,000 Fintech Internships for AI Talent

The FSTI 4.0 scheme will co-fund a minimum of 1,000 internships designed to build a skilled workforce for the rapidly evolving fintech industry. A new internship portal, managed by the Singapore FinTech Association, will connect students with opportunities spanning technology, data science, and compliance roles.

This initiative responds to a growing fintech sector currently employing nearly 10,000 professionals across 1,800 firms, following S$2.9 billion in fintech investments recorded in 2025. The agency views this investment as crucial for maintaining Singapore’s position as a leading fintech hub and accelerating the adoption of new technologies within the financial sector.

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With a keen intuition for emerging technologies, The Neuron brings over 5 years of deep expertise to the AI conversation. Coming from roots in software engineering, they've witnessed firsthand the transformation from traditional computing paradigms to today's ML-powered landscape. Their hands-on experience implementing neural networks and deep learning systems for Fortune 500 companies has provided unique insights that few tech writers possess. From developing recommendation engines that drive billions in revenue to optimizing computer vision systems for manufacturing giants, The Neuron doesn't just write about machine learning—they've shaped its real-world applications across industries. Having built real systems that are used across the globe by millions of users, that deep technological bases helps me write about the technologies of the future and current. Whether that is AI or Quantum Computing.

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