Fraud & risk analytics
Behavioural anomalies, abuse patterns, prevention signals and leadership-ready decision views.
Senior analytics · BI · fraud · payments
I help teams turn behavioural, financial and operational data into reliable decisions: metric layers, dashboards, fraud/risk signals, payment economics and AI-assisted analytical workflows.
Behavioural anomalies, abuse patterns, prevention signals and leadership-ready decision views.
Metric definitions, KPI governance, dashboards, automation and executive reporting loops.
Using AI safely as an analytical multiplier: query design, review loops, documentation and anomaly triage.
Payment cost views, interchange reduction and referral-fee classification correction.
NDA-safe outline of outcome-based fraud and payment optimisation work.
Group-level marketing reporting across markets and consistent campaign KPIs.
All work pages are deliberately sanitised: no confidential client data, no current employer, no proprietary schemas.