We're looking for a strong, product-minded Antifraud Analyst who can work end-to-end and make calls independently. This isn't a "run the report and hand it off" role. You'll own the fraud detection layer - understanding the mechanics, building new controls from scratch, and constantly asking how do we make this better. If you've spent time thinking about fraud systems the way a product manager thinks about a feature - you'll fit right in. Your Future Responsibilities Await: 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 What we expect from candidate: 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