Why Credit Scoring in Africa Needs Mobile Money Data

Credit bureaus were designed for economies where most adults hold a bank account, a credit card, and a documented borrowing history. In West Africa, that describes a small minority. The result is a paradox: tens of millions of people who are demonstrably creditworthy are invisible to the systems that decide who gets a loan.

The thin-file problem

A "thin-file" borrower is someone with too little formal credit history to score with traditional models. Across the region, bureau coverage sits below 10% of adults. But the same people who are invisible to a bureau are often highly active on mobile money - sending, receiving, paying bills, and topping up airtime every single day.

That activity is a rich, high-frequency signal of financial behaviour. The question is how to turn it into a fair, explainable score.

What MoMo behaviour reveals

• Payment regularity - consistent bill and airtime payments signal reliability
• Cash-flow stability - the rhythm of inflows and outflows over time
• Account age and tenure - longer, steady histories reduce risk
• Network behaviour - who someone transacts with, and how often

OminiScore combines these into a 0-1000 score aligned with TransUnion Africa bands, with sub-scores for payment history, utilization, account age, and credit mix - no bureau data required.

Explainability is not optional

A score that a lender cannot explain is a regulatory and ethical liability. Every OminiScore result ships with a human-readable explanation of the factors that drove it, so lenders can justify decisions and borrowers can understand them.

The goal is not just more lending - it is fairer lending, grounded in real behaviour rather than the absence of a paper trail.