Data Scientist III (US) - FCRM

TD Bank•Mount Laurel, NJ

About The Position

The Data Scientist III provides technical leadership across the Analytics function, which may have an enterprise-wide mandate. The role applies deep technical knowledge in client interactions to explain complex data analysis. Within the Financial Crimes Risk Management (FCRM) department, the position creates, develops, and maintains anti-money laundering (AML) typologies to proactively identify and mitigate financial crime risks. It collaborates with cross-functional teams, supports Financial Intelligence Units (FIUs) through targeted data analysis, and contributes to strategic initiatives that strengthen AML efforts. The role oversees multiple projects, ensuring timely execution and providing second-level oversight. The position operates as an enterprise or functional expert, combining broad managerial knowledge with specialized expertise. It independently supports technical data management solutions across projects of varying complexity and size, contributes to longer-range functional planning, and may manage and prioritize multiple projects. It works with business owners and partners to translate business problems into viable data science solutions, derive insights from large datasets, and communicate findings to stakeholders. The role also provides analytical thought leadership, supports sound risk and governance practices, and contributes to team development and knowledge sharing.

Requirements

  • Undergraduate degree or advanced technical degree preferred; relevant fields include mathematics, physics, engineering, finance, or computer science.
  • Graduate degree preferred, with progressive project work experience or at least 5 years of relevant experience; higher-degree education and research tenure may count toward experience.
  • Experience with machine learning, Microsoft Azure, Python, SQL, and Databricks.
  • Ability to work independently on analysis, design, and support of technical data management solutions.
  • Ability to manage and prioritize multiple projects.
  • U.S. citizenship or U.S. lawful permanent resident status (Green Card) is required; applicants must not require current or future TD sponsorship.
  • The role is not eligible for TD work visa support or sponsorship.

Nice To Haves

  • Experience in financial crimes or compliance risk analytics.
  • Experience generating data and analytics insights and helping financial institutions improve the efficiency and effectiveness of transaction monitoring systems.
  • Experience with data transformation, ETL, and combining data from multiple sources to create analytics reports.
  • Hands-on experience developing, validating, and deploying machine learning models.
  • Familiarity with generative AI and agentic AI.
  • Graduate degree in a relevant field.

Responsibilities

  • Create, develop, and maintain AML typologies to identify and mitigate financial crime risks.
  • Collaborate with cross-functional teams and support Financial Intelligence Units through targeted data analysis.
  • Contribute to strategic initiatives that strengthen AML efforts across the organization.
  • Oversee the execution of multiple projects, keeping them within established timelines and providing second-level oversight.
  • Work with business owners to identify opportunities and translate business problems into viable data science solutions.
  • Extract and prepare data, apply statistics and advanced analytics, and use business context to derive insights from large datasets.
  • Visualize and communicate data insights and results to decision-makers and stakeholders with varying levels of technical understanding.
  • Collaborate with data and business analysts, software engineers, data engineers, and application developers to build scalable, sustainable data science solutions.
  • Stay current on data mining and data science developments, and provide analytical thought leadership.
  • Promote business process improvement through analytical insights and educate the organization on hypothesis testing and statistical validation.
  • Ensure programs, policies, and practices meet business needs, comply with internal and external requirements, and align with business priorities.
  • Participate in cross-functional and enterprise initiatives as a subject matter expert, helping identify risks and guide complex situations.
  • Monitor service, productivity, and efficiency, and implement process and performance improvements where appropriate.
  • Lead or facilitate remediation plans addressing performance, risk, or governance issues.
  • Maintain relationships across business lines and control functions, and stay informed about emerging issues, trends, and regulatory requirements.
  • Participate in team activities, share project progress and relevant information, mentor colleagues, and contribute to team skill development.
  • Occasionally travel domestically; international travel is not expected.

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
  • Reward and recognition
  • Variable compensation or incentive awards may be available, subject to eligibility
  • Training programs, an online learning platform, and mentoring programs
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