Kate Smith

Kate Smith is an experienced data scientist specializing in fraud detection and machine learning, currently employed at Barclays since August 2014. Key achievements include developing NLP-based models for event classification and collaborating with legal teams to streamline inventory analysis. Kate has also aggregated 50 models into a forecasting tool for PRA Stress Testing and led a London-based team while managing cross-site coordination. Prior experience includes financial roles at J.P. Morgan from July 2012 to August 2013, focusing on dispute resolution in derivative settlements, and an educational background with a Bachelor of Science in Mathematics from the University of Bath and ACA qualifications from ICAEW.