Data Scientist III – Financial Crime Risk Modeling
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Job Description
Data Scientist III leading financial crime risk modeling efforts within TD's Analytics department. Innovating and supporting initiatives related to anti-money laundering and compliance risk analytics.
Responsibilities:
- 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
- develops, maintains, and enhances 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
- seeks talented data scientists to join to innovate, drive, and support initiatives and business as usual operations in multiple functional areas
Requirements:
- 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+ year of relevant experience; higher degree education and research tenure can be counted
- Strong foundation in regression, classification, and machine learning models and anomaly detection techniques
- Proficiency with Python and SQL is a must
- Experience in Financial Crimes / Compliance Risk Analytics is a plus
- Hands-on experience with GenAI applications is a strong plus, including but not limited to fine-tuning or prompting LLMs, ability to build analytical solutions using LLM APIs, and use GenAI applications to develop data labeling solutions
Benefits:
- health and well-being benefits
- savings and retirement programs
- paid time off (including Vacation PTO, Flex PTO, and Holiday PTO)
- banking benefits and discounts
- career development and reward and recognition
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