TD is looking for a Data Scientist to drive Financial Crimes Network Analytics in Toronto, Ontario. Engage in developing cutting-edge detection capabilities for risk management.
Join the Advanced Analytics & Insights team to become a Data Scientist III focused on financial crime analytics. This role emphasizes developing analytical tools and validation strategies to identify high-risk connections that traditional methods may overlook. Collaborate with stakeholders to present insights that shape crucial business decisions.
Key Responsibilities: • Create strategies for detecting financial crime patterns • Perform data analysis to uncover risk insights • Develop visualization tools for business user engagement • Automate key operations for better efficiency • Conduct ad-hoc and structured analysis for problem-solving
Requirements: • Experience with SQL and Python required • Minimum 1 year in an analytics role • Knowledge in machine learning preferable • Bachelor’s degree in a related STEM field • Understanding of anti-money laundering processes is advantageous
Make an impact in financial crime analytics with TD's team in Toronto.