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TD

Data Scientist III – FCRM Risk Modeling

TD

Data Scientist III leading analytics function for AML/CTF solutions at TD. Innovating and supporting initiatives in Financial Crime Risk Modeling and Advanced Analytics.

Posted 7/24/2026full-timeRemote • Massachusetts, New Jersey, New York, North Carolina • 🇺🇸 United StatesMid-LevelSenior💰 $96,130 - $155,950 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing and enhancing Anti-Money Laundering and Counter-Terrorism Financing models, utilizing advanced analytical techniques and technologies such as Python, SQL, and GenAI applications. Capable of providing technical leadership and ensuring compliance with regulatory requirements while addressing emerging risks in financial crimes.

Highest-signal resume keywords
Python ProficiencySQL ProficiencyMachine Learning ModelsGenAI ApplicationsFinancial Crimes Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Regression TechniquesClassification TechniquesAnomaly DetectionData AnalysisTechnical Data Management
Tools & Technologies
LLM APIsGenAI Applications
Industry Keywords
Anti-Money LaunderingCounter-Terrorism FinancingCompliance Risk AnalyticsRegulatory RequirementsEmerging Risks

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, addresses emerging risks, and aligns with best industry practice
  • Works independently on activities related to analysis, design and support of technical data management solutions on various projects

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+ years of relevant experience
  • 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 insurance
  • 401(k) matching
  • Flexible working hours
  • Paid time off (including Vacation PTO, Flex PTO, and Holiday PTO)
  • Career development
  • Reward and recognition