By My product management philosophy was shaped by dissecting human cadavers.
This is not the typical origin story for a fintech product leader. Most of my peers come from computer science or business backgrounds. I come from anatomy labs at the University of Ilorin, where I spent years studying how biological systems interconnect.
The transition seemed illogical to others. To me, it was natural. Both anatomy and product management require seeing systems within systems, understanding that changing one element affects the whole organism.
When I joined Zedvance Finance as a business analyst, I approached lending products like biological systems. The customer was not just a credit score. They were a complex organism embedded in family networks, income streams, and informal economic relationships. The product was not just an app. It was an ecosystem of risk models, payment collections, and regulatory compliance.
This systems thinking became essential when I moved to payment infrastructure at Xpress Payment Solutions. A payment transaction is not a simple transfer. It is a coordinated dance between card schemes, banks, switches, merchants, and regulators. Changing the settlement timing at one bank affects liquidity across the entire network. Increase fraud detection sensitivity, and you block legitimate transactions from rural areas with unusual spending patterns.
Biology taught me to map these interconnections before making changes. In anatomy, cutting the wrong nerve paralyses the entire limb. In product management, optimising the wrong metric destroys the user experience.
I see this mistake constantly in fintech. Teams optimise for transaction volume and accidentally increase fraud rates. They reduce customer support costs and destroy trust. They speed up loan approvals and increase default rates. They treat symptoms rather than systems.
At Accelerex, we were building payment terminals for agency banking networks. The obvious metric was transaction volume. More transactions meant more revenue. But focusing only on volume ignored the system. Agents needed liquidity to handle withdrawals. They needed technical support when devices failed. They needed trust from their communities to serve as de facto bank branches.
We built a dashboard tracking not just transactions, but agent liquidity ratios, support ticket resolution times, and community retention rates. The system view revealed that our highest-volume agents were often our most fragile, operating on thin liquidity margins that could collapse during settlement delays.
The product improvements that mattered were not feature additions. They were system stabilisations. Faster settlement times. Better liquidity forecasting. Proactive support before devices fail.
My anatomy background also taught me about adaptation. Biological systems evolve in response to environmental pressure. Products must do the same.
In Nigeria’s fintech environment, the pressure is constant. Regulatory changes, currency volatility, and infrastructure instability. Products that cannot adapt die. I have watched well-funded fintechs fail because they built rigid systems for stable environments, then could not pivot when Nigeria’s reality intervened.
The product leaders who survive here build adaptive capacity into their architecture. Modular systems that can swap components as regulations change. Data pipelines that detect behavioural shifts in real time. Teams are comfortable with ambiguity and rapid iteration.
This biological approach to product management is not unique to emerging markets, but it is essential here. In stable environments, you can treat products as machines to be optimised. In volatile environments, you must treat them as living systems to be nurtured.
As I pursue my MSc in Data Science at the University of Hertfordshire, I am exploring how machine learning can enhance this systems thinking. Not just predictive models, but complex adaptive systems that evolve with their environment.
The future of fintech product management lies in this intersection: biological systems thinking, data science capability, and deep contextual understanding of emerging market constraints. The product leaders who master all three will build the infrastructure that finally includes the billions still excluded from formal financial systems.
