The Infrastructure Layer - What Yvonne Johnson's Bet on Credit Rails Tells Us About African Fintech's Next Phase
Building the credit infra for Africa's future
Yvonne Johnson has a line she has used in multiple public appearances: “You cannot have a thriving economy without a functioning consumer credit ecosystem.”
It sounds like a policy statement. After an hour with her on The Grinders Table Podcast, I understand it is actually a market thesis, one she has been executing against since 2018, quietly and deliberately, at the infrastructure layer most people never see.
The bet she made
When Yvonne left First Bank of Nigeria in 2018, she had spent eight years inside Nigeria’s oldest banking institution watching the structural impediments to consumer credit from the inside. She had led the strategy function for the entire commercial banking group. She had built the bank’s first digital finance strategy. She had watched, firsthand, how legacy institutions slow-walk innovation not out of incompetence but out of institutional logic - stakeholders who built their careers on a certain way of doing things, customers who associate the brand with trust, committees that require multiple sign-offs before anything moves.
She left. But she did not start a lending company.
This is the decision that defines Indicina. Almost every African fintech founder with her background and insight would have taken the obvious route: raise a balance sheet, deploy capital, show early repayment data, raise more. It is the route the ecosystem rewards. It is the route investors can model.
She chose the other route — the infrastructure layer. The rails that lenders use to make decisions, not the capital those lenders deploy.
Why the economics make this the right bet
Her reasoning is more precise than a vision statement. She made two arguments in our conversation that I think deserve wider attention.
First: the decisioning engine had to be built properly before it could be trusted at scale. Digitising credit underwriting is a hard machine learning problem. Getting it right requires real data, real loans, real repayment outcomes, iterated over time. Owning a balance sheet while simultaneously building that engine means you are taking credit risk before your models are ready. The infrastructure path means you iterate on the engine itself, and the balance sheet risk stays with the lenders who already know how to manage it.
Second: banks have the cheapest cost of capital in the market. A digital lender raising venture debt or equity to fund a loan book is operating at a fundamental disadvantage. With a higher cost of capital, the margin for error on underwriting almost disappears. Infrastructure companies don’t carry that risk. They charge for the technology. The lenders carry the risk, with better tools.
What the credit gap actually is
There is a version of the African credit gap story that frames it as a poverty problem; people don’t have credit because they don’t have income. Yvonne pushes back on this. The gap she is addressing is specifically among professionals and employees with stable incomes who still cannot access streamlined consumer credit. This is not a borrower quality problem. It is a systems problem.
But even “data problem”, the more common framing, undersells the complexity. In our conversation, Yvonne broke the gap into layers. The first is data availability - BVN, NIN, Credit Bureau, open banking, telco records. That data now largely exists. The second is accessibility: can that data be consumed by a credit engine in real time through a digital API? That journey is still underway. The third, and least discussed, is opportunity cost. Every naira a bank deploys to a consumer loan is a naira not in a government bond. Until the risk-adjusted return on consumer lending is clearly superior, the systemic incentive to not lend persists — regardless of how good the infrastructure is.
Yvonne is solving layers one and two. Layer three requires regulatory and macroeconomic conditions to shift. She is patient about that.
What the next decade looks like
Her ten-year view is not utopian. She expects progress along each of the friction layers - more accessible data, more sophisticated models, more comfort from institutional lenders as digital lenders continue to demonstrate that the asset class works. She gives real credit to the digital lenders of the last decade for one specific thing: they proved to banks that consumer credit in Nigeria is not as risky as the institutional memory said it was. That proof has started to open doors.
Embedded finance is the product innovation she is most optimistic about. The shift from “here is cash” to “here is a loan routed toward a productive use” changes the risk profile of consumer credit fundamentally, because the lender can see where the money goes.
The builder behind the infrastructure
What struck me most in this conversation was how consistent her mental model has been across every phase of her career. At Merrill Lynch, she chose to leave for a transformation mission rather than the obvious career path. At First Bank, she chose to spend years making the case for digital lending internally rather than moving on when it was slow. At Indicina, she chose to build infrastructure rather than chase the faster revenue of a balance sheet.
Each choice was slower in the short term and structurally superior in the long term.
That is not how most founders think. Most founders optimise for the fastest route to the first credible metric. Yvonne optimises for the defensible position — the one that gets harder to displace as time goes on.
That is infrastructure thinking. And it is what Africa’s credit ecosystem needs more of.
Yvonne Johnson’s full conversation on The Grinders Table Podcast is available on Spotify and Apple Podcasts.