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
- 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
