Provides technical leadership across the overall Analytics function which may have an enterprise mandate
Provides deep technical knowledge and expertise in client interactions to explain complex data analysis related material
Developing, maintaining, and enhancing the Enterprise Anti-Money Laundering / Counter-Terrorism Financing (AML/CTF) models/AI solutions to comply with regulatory requirements/changes and internal policies
Supports TD's global AML/CTF strategies, address emerging risks, and be in accordance with best industry practice
Works closely with business owners to identify opportunities and serves as an ambassador for data science
Translates business problems to viable data science solutions
Collaborates with other partners to develop scalable and sustainable data science solutions that retain long-term benefits to the business

Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science)
Graduate's degree preferred with either progressive project work experience or 5+ years of relevant experience; higher degree education and research tenure can be counted
Proficient with Python or equivalent programming language and SQL
Experience in Financial Crimes / Compliance Risk Analytics is a plus
Experience in optimization / testing / tuning of AML/CTF solutions, particularly transaction monitoring systems
Experience in machine learning model development, validation, and deployment.
Experience with LLM-based solutions is a plus

Data Scientist III – Financial Crimes Modeling

Key skills