Summary
Valeria Diez is a Lead Data Scientist specializing in financial crime prevention with eight years’ experience applying ML and analytics at scale in banking. At Monzo she has built advanced data pipelines and detection models for 10M+ retail and 500k business customers, and now leads generative AI proof-of-concepts to accelerate investigations and compliance. Her background spans decision science for lending, fairness auditing, and product-facing analytics, giving her a rare blend of model rigour, regulatory savvy, and product intuition. She has a strong academic foundation from Imperial College, CDTM and TUM, and an early career track record of translating research into operational systems—from call-centre forecasting to KPI dashboards for executives. Notably, she combines hands-on engineering with stakeholder-facing leadership, driving measurable improvements in AML effectiveness and operational readiness.
8 years of coding experience
10 years of employment as a software developer
MSc Business Analytics Business Analytics, MSc Business Analytics Business Analytics at Imperial College London
Bachelor of Science (BSc) Business Informatics, Bachelor of Science (BSc) Business Informatics at Technical University of Munich
Honours Degree Technology Management, Honours Degree Technology Management at Center for Digital Technology and Management (CDTM)
Spanish, English, German, Italian, Portuguese