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Analyze large datasets for fraud prevention and risk management, develop dashboards and reporting structures, present quantitative research, and support rules-based or machine-learning models. Collaborate with management and cross-functional stakeholders to identify business problems and implement data-driven solutions that improve risk prevention and compliance.