• You will partner with Risk, Fraud and Disputes Engineers and Product Managers to deeply understand business needs and translate them into actionable data-driven solutions • You will lead the creation of high-quality labeled datasets that power supervised machine learning, rules-based fraud detection and predictive chargeback modeling • You will collaborate closely with Machine Learning and Backend Teams to productionize data assets and enable scalable, reliable decisioning systems • You will analyze large-scale transactional, fraud and chargeback datasets to surface trends, detect anomalies and support deep-dive investigations (e.g., Chargeback win/loss rates, Fraud rates, anomalous Merchant behaviour etc.) • You will build and maintain real-time dashboards and reporting mechanisms that provide leadership, operations and product teams with visibility into critical KPIs across Risk, Fraud and Disputes • You will identify and recommend data improvements to strengthen fraud and chargeback detection capabilities and reduce false positives and false negatives • You will act as a domain expert on fraud and dispute data, supporting internal investigations and responding to customer-facing data queries with clarity and accuracy • You will partner with Finance and Operations to answer business-critical questions related to dispute performance, costs and trends • You will collaborate with Engineering to design, validate and maintain Airflow pipelines and ETL workflows that support scalable and resilient data infrastructure