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The Data Science and Analytics team at Quantifind focuses on developing and enhancing advanced data-driven models and algorithms to detect and prevent fraudulent activities and money laundering. By leveraging machine learning and statistical techniques, the team analyzes large datasets to identify anomalies, uncover insights, and improve the efficacy of Quantifind’s SaaS solutions, ultimately empowering banks and government agencies to combat financial crime effectively.