Anti-Fraud Analyst

• -
• Design, build, and maintain data pipelines for fraud detection
• -
• Develop and optimize SQL-based data transformations for large-scale datasets
• -
• Ensure data quality, consistency, and integrity across antifraud systems and datasets
• -
• Build and maintain feature tables for fraud rules and scoring models
• -
• Work with streaming and event-based data (e.g., transactions, logins, device signals)
• -
• Optimize query performance and data models for high-volume data (millions+ records)
• -
• Develop, implement, and maintain fraud detection rules (SQL / rule engines)
• -
• Analyze fraud patterns (ATO, card fraud, onboarding fraud, etc.) and translate them into data-driven controls
• -
• Monitor rule performance (false positives / false negatives) and continuously improve detection logic
• -
• Perform deep-dive analysis of fraud cases and emerging patterns

Requirements

• -
• Strong SQL expertise
• -
• Attention to detail and data accuracy
• -
• Ability to communicate findings to both technical and non-technical stakeholders
• -
• Ownership mindset and proactive approach