Detecting anomalies and novel events is vital to the financial industry. These events may often be indicative of illegal activities such as credit card fraud, identity theft, network intrusion, and money laundering. A number of new ideas are emerging to tackle this problem, including semi-supervised learning methods, deep learning based approaches and network/graph based solutions. These approaches must often be able to work in real-time and be able handle large volumes of data. The purpose of this workshop is to bring together researchers and practitioners to discuss these new approaches and solutions. This half-day workshop will consist of a series of sessions, including spotlight talks and short paper presentations, which will showcase ongoing research and novel applications.