June 13, 2019
Machine Learning in Compliance
Applications and Technical Background
Over the past two decades, compliance in banks has gained incredible importance. The alignment of compliance processes is becoming increasingly technical and quantitative.
Therefore, it allows the use of advanced methods and analysis tools such as Machine Learning (ML). One example is the usage of ML methods in the context of screening for politically exposed persons (PEPs) and sanctioned persons. Further applications are fraud prevention and the detection of market abuse.
ACTICO and the consulting firm d-fine showed in the business breakfast which compliance applications are suitable for machine learning and how the technology behind them works.
