By: Pivendren Naik - Tech Lead at Sanlam Fintech

Africa’s financial technology (fintech) story has, to date, been largely defined by access. Over the past decade, the continent has made extraordinary progress in getting people connected, banked and transacting digitally. But the industry is now entering what can best be described as the “infrastructure phase”, a transition that brings Africa’s skills shortage sharply into focus. 

This next wave is about orchestration and efficiency. It’s no longer enough to just have an app or a single platform; we are now building the complex, invisible rails and connections that allow money to move instantly with product embedded in our current financial behaviours. We are moving from simple peer-to-peer transfers to building comprehensive financial ecosystems that can scale globally while solving uniquely African problems. 

The scale of what lies ahead is significant. According to the International Finance Corporation, more than 230 million jobs in Sub-Saharan Africa will require digital skills by 2030, spanning coding, data analytics, digital marketing, cybersecurity and AI literacy. Yet Africa’s current skills base is far from ready. Countries across the continent score between 1.8 and 5 on the Digital Skills Gap Index – well below the global average of 6, with 12 of the world’s 20 weakest performers located in Africa and only 11% of tertiary graduates receiving any formal digital training. 

Five years ago, talent demand centred largely on developers building user-facing experiences. Today, the requirement has moved much deeper into the stack. There is growing demand for engineers who understand the plumbing of finance, including how to integrate with legacy banking systems such as host-to-host, file-based protocols, while simultaneously building modern, cloud-native environments. Increasingly, the most valuable capability is not simply the ability to code, but the ability to design systems that are hyper-efficient, resilient and capable of operating at scale. 

As AI, cloud and automation continue to mature, these demands will only intensify further. While technical competence remains essential, the most critical capability of the next decade will be “contextual engineering”. AI can generate code at speed, but it cannot yet interpret regulatory nuance, compliance requirements or the constraints of local banking rails. Fintech teams need engineers who can leverage AI for productivity while applying human judgement to security, risk and regulatory alignment. Alongside this, data literacy becomes non-negotiable. In an increasingly automated environment, the ability to interpret data flows, optimise transaction success rates and balance speed with stability is what separates good fintechs from great ones. 

The challenge is that Africa’s education systems are not yet producing this depth of capability at scale. This shortfall begins early in the education pipeline. World Bank research estimates that only half of African countries include IT skills in their school curriculums, compared to 85% globally. Where digital skills are taught, they are often introduced in isolation. Real-world fintech, however, does not operate in silos. It involves connecting disparate systems, working within constraints and designing for failure as much as for success. There is an urgent need to introduce complexity earlier in the curriculum through project-based learning that mirrors real environments, where APIs fail, integrations break and trade-offs are unavoidable. Young people need to learn not only how to write software, but why architecture matters and how strong design enables flexibility as systems evolve. 

Encouragingly, there are models already helping to bridge the gap between training and employment. The most effective approaches are apprenticeship-style bootcamps that pair junior engineers with experienced practitioners on real, production-grade systems. While theory is important, there is no substitute for exposure to live transaction environments. Programmes that safely simulate this production pressure consistently produce graduates who are far better prepared for the realities of the industry. 

The stakes could not be higher. Without a strong skills pipeline, Africa risks slowing its fintech momentum, driving up the cost of innovation and increasing reliance on imported talent. The upside of closing the skills gap, however, is equally significant. If we solve the skills gap, we solve the cost of innovation. Currently, a shortage of senior talent drives up the cost of building new products. If we flood the market with skilled engineers, the barrier to entry drops. We would see an explosion of niche, hyper-local solutions solving specific community problems that are currently too expensive to address. 

In that future, Africa gains the momentum to shape the global fintech ecosystem. With sustained investment in digital skills, the continent can move from being a consumer of global fintech platforms to a global exporter of payment infrastructure, innovation and expertise.