Explore a 23-minute conference talk from the Toronto Machine Learning Series (TMLS) on using anomaly detection to combat human trafficking. Learn how Julian Michetti-Wilson, a Senior Analyst at Canadian Tire Bank, leverages machine learning techniques to identify financial indicators of human trafficking victimization. Discover how feature engineering and anomaly detection methods are applied to transaction and customer data, in conjunction with FINTRAC's operational alert, to support fraud investigators in detecting and reporting suspicious activities. Gain insights into the challenges of performance evaluation and the success of this approach in targeting potentially compromised accounts.