Analytical Case Classification & Quality Review – FinTech Data
Reviewed and categorized high-volume transactional and dispute data using structured rule-based frameworks. Applied consistent classification standards to identify fraud indicators, anomalies, and edge cases. Ensured data accuracy and compliance by validating outputs against predefined guidelines. Maintained detailed documentation of reasoning decisions to support auditability and quality control.