TD is looking for a Data Scientist to drive Financial Crimes Network Analytics in Toronto, Ontario. Engage in developing creative 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.