LeadDataScientist-FinancialCrime

**Our Purpose** _Mastercard powers economies and empowers people in 200 + countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._ **Title and Summary** ### Lead Data Scientist - Financial Crime ### Overview: Within Financial Crime Solutions, we build and deliver products powered by payments data to detect and prevent financial crime. Our teams combine data science with deep expertise in payments to support financial institutions in tackling money laundering and fraud. As a Lead Data Scientist, you will serve as a senior individual contributor responsible for designing, building, and continuously improving machine learning models used in production to detect anomalous behaviour in transaction data. You will work closely with a Principal Data Scientist and a Director of Data Science, contributing to technical direction while owning delivery and execution in your area. The primary focus is Anti-Money Laundering (AML), with flexibility to support adjacent areas (e.g. fraud, A2A, crypto) depending on team priorities. This is a full-time hybrid position based in Toronto, Canada, with an expectation of at least three days per week in the office. Role: • Lead the development and improvement of AML models focused on anomalous transaction behaviour in card payments. • Own problems end-to-end, from problem framing and prototyping to production improvement. • Influence modelling approaches and technical direction in collaboration with senior data science leadership. • Analyse large-scale payments data to identify patterns linked to illicit activity. • Drive improvements in model performance, stabilit