Marie and Sam chat with Araliya Samme about her role at RegTech firm, Featurespace, the detection of unusual behaviour using machine learning as part of financial crime investigations to better detect and report suspicious activity, How behavioural analytics work in practice and why the 'one size fits all' approach to compliance monitoring is quickly becoming obsolete. They also explore the crime trends seen during the COVID crisis and how the use of money mules has been on the increase, where Araliya shares a case study on "inter-minglers" or customers who hold multiple bank accounts as a tactic to obscure the overall flow of funds and the sources from which they came. She also shares a great illustration on why source of wealth and funds forms a part of CDD and how Featurespace technology was able to help one bank say in relation to one customer, "I don't think so".
And forget about how to tame your dragon, how do you go about taming and training your behavioural AI? Listen and find out?