Senior Product Data Analyst, Veriff

• Have 3+ years of analytics experience, ideally in fraud, security, or anomaly and pattern detection
• Are fluent in SQL and have a working knowledge of Python
• Are experienced in Tableau (or a similar BI tool), and can turn complex fraud patterns into actionable visualizations
• Understand telemetry and risk scoring
• Communicate effectively with engineers and policy stakeholders alike
• Can reason across user behavior and adversarial tactics
• Thrive in ambiguity and fast response environments

Desirable

• Join our Data Insights team supporting the Fraud Platform to help detect and stop fraud in real time—without slowing down good users
• You’ll be instrumental in analyzing telemetry, risk scoring, and fraud countermeasures to reduce fraud attacks and improve accuracy across our detection systems
• Translate data into action: Deliver insights that help reduce false positives and detect emerging fraud patterns
• Drive product clarity: Track and report on fraud-related metrics, including detection accuracy, latency, and escalation volume
• Unlock opportunities: Identify accuracy gaps and propose interventions in scoring, telemetry, or model thresholds
• Champion data quality: Define and uphold reliable metric standards across the fraud detection ecosystem
• Own impact analysis: Validate the effect of new fraud models or thresholds via controlled experiments or backtesting
• Support scalable infrastructure: Build dashboards and alerts to monitor fraud metrics and reduce escalations
• Work cross-functionally: Align insights with Product Managers, Engineers, and Fraud teams to reduce fraud without degrading user experience