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Analyze large datasets for the Fraud and Risk team, develop dashboards and reporting structures, present insights, and support data-driven risk prevention. The role involves quantitative research, fraud detection, risk assessment, rules-based and machine learning models, and collaboration with stakeholders to solve business problems.