TD
TD
TD is a major North American bank serving individuals, businesses, and institutional clients through personal and business banking, insurance, wealth management, and securities services. Its broad operating model supports career opportunities across banking and finance, with roles spanning different regions and areas of expertise. TD also emphasizes sustainability, diversity, equity, inclusion, and community impact, shaping a workplace culture centered on care, respect, and employee growth.

Data Scientist III, AML/CTF Risk Modeling (Remote)

Lead the development of AML/CTF risk models and AI solutions for TD Bank. Apply advanced analytics to financial crime compliance, transaction monitoring, and emerging risks.

Description

  • Provide technical leadership across the Analytics function
  • Explain complex data analysis concepts during client interactions
  • Develop, maintain, and improve enterprise AML/CTF models and AI solutions
  • Support regulatory obligations and TD’s global AML/CTF strategies
  • Address emerging financial crime risks across customer rating, sanctions screening, transaction monitoring, model performance monitoring, analytics, and reporting
  • Lead complex initiatives that integrate cross-functional processes
  • Independently analyze, design, and support technical data management solutions
  • Prioritize multiple projects and contribute to longer-term functional planning
  • Partner with business owners to identify opportunities and promote data science adoption
  • Convert business problems into practical data science solutions
  • Extract and prepare data, apply statistical and advanced analytical methods, and generate insights from big data
  • Visualize findings and present results to decision-makers and stakeholders
  • Work with analysts, engineers, and application developers to create scalable data science solutions
  • Provide analytical leadership and teach hypothesis testing and statistical validation
  • Identify risks, advise stakeholders, and lead remediation plans for performance, risk, and governance issues
  • Monitor service delivery, productivity, efficiency, and ongoing process improvements
  • Manage relationships across business lines and control functions
  • Maintain risk management and controls in line with regulatory requirements and risk appetite
  • Mentor colleagues, share expertise, and support team development

Requirements

  • Applicants must be U.S. citizens or U.S. Lawful Permanent Residents (Green Card Holders)
  • Must not require current or future sponsorship from TD
  • At least 5 years of relevant experience, or progressive project experience with a preferred undergraduate or advanced technical degree
  • Strong knowledge of statistics, regression, classification, machine learning models, and anomaly detection methods
  • Strong numerical judgment with the ability to assess model outputs, data quality, and performance trade-offs
  • Proficiency in Python and SQL
  • Experience in Financial Crimes or Compliance Risk Analytics is preferred
  • Hands-on experience with GenAI applications, including LLM fine-tuning or prompting, is strongly preferred
  • Ability to build analytical solutions with LLM APIs and use GenAI applications for data-labeling solutions
  • Ability to work with data infrastructure, big data, and advanced analytics
  • Ability to collaborate with data and business analysts, software engineers, data engineers, and application developers
  • Ability to meet the stated physical requirements, including continuous sedentary work, sitting, concentration, reading, writing, and arithmetic

Benefits

  • Base salary and variable compensation or incentive awards, with eligibility for cash and/or equity incentives
  • 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 opportunities
  • Reward and recognition programs
  • Regular career, development, and performance discussions
  • Access to an online learning platform
  • Mentoring programs
  • Training and onboarding sessions
  • Occasional domestic travel

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