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TD

Data Scientist III – Financial Crime Risk Modeling

TD

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.

Posted 6/4/2026full-timeRemote • New Jersey, New York • 🇺🇸 United StatesMid-LevelSenior💰 $96,130 - $155,950 per yearWebsite

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • 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

What you’ll need
  • 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

Comp & perks
  • 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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Hard Skills & Tools
PythonSQLregression modelsclassification modelsmachine learninganomaly detectionGenAI applicationsLLM APIsdata labeling solutionsanalytical solutions
Soft Skills
technical leadershipclient interactionscommunicationinnovationproblem-solvingcollaborationadaptabilitystrategic thinkingrisk assessmentproject management