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