I am a data scientist at Sionic and hold a degree in Mathematics from the University of Durham. I help clients utilise networks in order to detect activity which might be relevant for potential Suspicious Activity Reports (SARs). In particular, my background in coding helps ensure that firms can reduce the incident rate of false positives which waste time for risk and compliance staff. Clients are increasingly taking an interest in how to interpret the data produced by AML processes and I seek to help them bridge the data comprehension gap. I especially enjoy that my role enables me to combine data science with consulting.