Staff Fraud Strategy Analyst
Core
Define and solve end-to-end fraud, risk, and trust problems for a high-volume parcel delivery network by designing decision rules, evidence standards, and data applications.
Role type
Staff Fraud Strategy Analyst (Strategy & Product)
Builds
Data applications, monitors, and alerts to detect and prevent fraud in a logistics network.
Domain
Logistics / Supply Chain / Financial Crime
Deliverable
production ML models
Required skills
End-to-end fraud/risk/trust decision ownership, SQL, rule design, evidence standardization, stakeholder influence, data-driven problem definition, operational research, hands-on tool building.
Preferred skills
Experience with high-volume transactional data, false positive rate optimization, cross-functional leadership, rapid experimentation.
Technologies
SQL, Claude, AI agents, data applications.
Responsibilities
Decide which Partner Excellence problems are real and prioritize fixes; Design decision logic, signals, and evidence standards for the network; Guide squad leads on what to change or stop; Build data applications and monitors to ship fixes; Validate fixes in the field (sort centres, vans, shops); Prove the impact of interventions on network performance.
