Financial Crime Data Scientist
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Key Responsibilities
• Validate various Financial Crime Risk Management models
• Conduct model testing under supervision
• Engage with stakeholders on model limitations
• Produce high-quality validation reports
• Develop validation tools for AI/ML models
Requirements:
• Post-secondary education in relevant fields
• Over 2 years validating AML/FCRM models
• Knowledgeable in programming languages like Python and Scala
• Excellent communication and project management skills
• Ability to complete tasks with minimal supervision Make a significant impact in Financial Crime Risk Management through data science at TD in Toronto.
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