TD is looking for a skilled Data Scientist specializing in Financial Crime Risk Management in Toronto. This role involves validating analytical models while utilizing advanced AI and machine learning techniques. As part of the Model Validation group, you will work with cutting-edge tools and contribute to the validation of models such as AML and Trading Surveillance.

Your strong communication skills will be essential in discussing model limitations with stakeholders while you ensure comprehensive validation processes and support regulatory requirements. Key Responsibilities:

- Validate Financial Crime Risk Management models effectively
- Conduct testing and analysis under managerial supervision
- Communicate with stakeholders on model issues




- Deliver quality validation reports with supporting information
- Maintain knowledge of AI and ML developments

Requirements:

- Degree in computer science, statistics, or related fields
- 2+ years in AML or FCRM model validation
- Proficient in Python, H2O.AI, and Scala
- Solid verbal and written communication skills
- Excellent multitasking and project management abilities

Leverage your expertise in AI and machine learning to drive impactful validation in Financial Crime Risk Management at TD in Toronto.

📌 Data Scientist in Financial Crime Risk Management (Toronto)
🏢 TD
📍 Toronto