Signal quality and fraud detection
Analyze data distributions to calibrate rules and assess each signal’s usefulness. Compare legitimate and suspicious behavior before recommending an operational rule.
SPECIALIST CONSULTING
Payment operations need more than a list of rules. They require an understanding of provider data, user behavior and review costs. I connect fraud analysis, operating model design and automation to turn these elements into explainable decisions.
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For fintechs, providers and platforms facing high payment volume, noisy alerts, confusing declines or manual review queues. Also for teams that need stronger connections between support, risk and engineering.
Analyze data distributions to calibrate rules and assess each signal’s usefulness. Compare legitimate and suspicious behavior before recommending an operational rule.
Map decline codes, authentication failures and provider responses. Review fields that appear equivalent but represent different stages of a transaction.
Organize evidence, triage procedures and responsibilities. Bring payment, account and support information together to support case analysis and follow-up.
Assignment, enrichment and handoffs with SQL, APIs and automation tools. Contextual alerts, duplicate handling and gradual rollout help prevent automation from amplifying process failures.
I start with a representative sample and the workflows that consume the most time or create the most uncertainty. I identify data gaps, prioritize improvements and design justified rules. Implementation, documentation and training can be included in the same engagement.
Previous projects include approximately 3,000 payments analyzed for signal calibration, ticket assignment reduced from two hours to 12 minutes, and an approximately 45% reduction in incident resolution time in an automation project. Metrics belong to specific contexts.
Christiane Delazeri ↗Tell me which payment or operations stage takes the most effort today and what you want to achieve.
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