TD seeks a Senior Data Scientist for Financial Crimes Analytics in Toronto, Ontario. Lead projects to enhance threat detection through advanced analytics strategies.
As part of the Financial Crimes Risk Management team, you will leverage your expertise as a Data Scientist III to uncover hidden connections associated with financial crimes. Your role involves developing analytical methods and tools essential for evaluating high-risk networks. You will play a significant part in strategic decision-making within a highly visible area of the bank.
Key Responsibilities:
• Design analytical strategies for financial crime detection
• Synthesize findings for diverse stakeholder audiences
• Build interactive visual tools for risk interpretation
• Streamline workflows for operational scalability
• Engage in independent analytical reviews to suggest enhancements
Requirements:
• Robust knowledge of SQL and Python
• A minimum of 1 year of relevant analytical experience
• Background in machine learning preferred
• Degree in STEM discipline required
• Knowledge of financial crime regulations is beneficial
Drive impactful analytics efforts in financial crime risk detection with TD in Toronto, while enhancing your skillset.
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