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