Guide
Running fraud operations at a fintech
Fraud operations is the day-to-day machinery that keeps losses inside tolerance without strangling good customers. For a fintech, the pressure is sharp: onboarding is fast, funds move quickly, and a fraud ring can probe your controls within hours of a product launch. A working fraud operation balances three competing costs at all times: fraud losses, the expense of review, and the friction imposed on legitimate users.
Detection and case flow
Detection combines rules, models, and velocity checks across account opening, funding, and transactions. Rules are transparent and fast to change; models catch patterns rules miss. Whatever fires an alert needs to land in a case queue with a priority, an assigned analyst, and a service target, so high-risk cases are worked before money leaves. Each case should capture the signals that triggered it, the analyst decision, and the action taken, both to train future models and to answer later questions about why an account was frozen or cleared.
Chargebacks, recovery, and measurement
Post-loss handling is its own discipline. Card chargebacks run on network timelines with representment deadlines, and disputes need evidence assembled quickly to have any chance of reversal. ACH and faster-payment reversals follow different rules again. The operation should track loss rate by product and cohort, false-positive rate, review cost per case, and recovery rate, then feed those numbers back into rule tuning. Without measurement, teams tighten controls after every incident and quietly accumulate customer friction they never revisit.
An operating model you own
The fraud operations program is available as an owned, single-file, regulator-mapped dashboard from The Protocol Collective. You pay once, keep it for good, get updates for life, and it is built from public frameworks. It lays out detection coverage, case-queue structure, chargeback procedures, and the loss metrics that matter, giving a small team a complete operating model instead of a pile of ad hoc rules assembled after each attack.
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General information about compliance and program structure, not regulatory, legal, tax or financial advice, and no promise of any examination or audit outcome. Built from public frameworks.