Kelvin Kwabena GyasiKelvin Gyasi
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Fintech & Payments

Cut fraud losses without punishing good customers

Device, SIM change, and behaviour signals that judge each action as it happens.

Situation

Fraud was hitting where telecom and money meet. SIM swap attacks hijacked wallets, account takeovers drained balances, and rapid fire abuse slipped past fixed limits, driving losses and eroding trust.

Action

I designed a real time layer that reads device and SIM change signals, learns each customer's normal behaviour, and scores every login and payment as it happens. It only steps in when the risk is genuinely high, asking for extra proof or holding, rather than blocking good customers.

Impact

Fraud is stopped where it matters while good customers pass through smoothly, with fewer account takeovers, fewer chargebacks, and few false blocks.

Insight

Fraud control is a game of precision. The goal is to stop the bad without slowing the good, and SIM plus behaviour signals catch what fixed limits never will.

Where it ran

Fraud-detection overlay across MMI / wallet / card flows

Fintech & PaymentsTelecommunicationsBanking & Financial Services

Figures for this engagement are available on request.

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