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About the Role

The Data Scientist III provides technical leadership across the Analytics function, offering deep technical expertise and explaining complex data analysis to clients. The US FCRM Data Analytics team supports financial crime risk management through various analytical solutions, focusing on complex initiatives requiring strong technical skills, AML knowledge, and AI/ML expertise.

Responsibilities

• Provides technical leadership across the overall Analytics function.
• Explains complex data analysis material to clients.
• Supports financial crime risk management through ad hoc analytics, internal audit and regulatory data requests, BAU reporting, machine learning, and advanced analytical solutions.
• Develops analytics, reporting, and AI-driven solutions that support risk management, regulatory commitments, investigative teams, and strategic business initiatives.
• Works independently on activities related to analysis, design, and support of technical data management solutions.
• Manages and prioritizes multiple projects.
• Works closely with business owners to identify opportunities and serves as an ambassador for data science.
• Translates business problems to viable data science solutions.
• Uses programming languages and techniques for data extraction, preparation, and analysis.
• Visualizes insights from data to convey meaning to decision-makers and stakeholders.
• Collaborates with partners to develop scalable and sustainable data science solutions.
• Provides analytical thought leadership and stays current on data mining and data science applications.
• Solicits and offers ideas for improving business processes through insights.
• Educates the organization on approaches like hypothesis testing and statistical validation.
• Helps the organization understand the principles and math behind the scientific process.
• Translates up-to-date information into continuous improvement activities.
• Adheres to enterprise frameworks or methodologies.
• Ensures programs, policies, and practices are well-managed and compliant.
• Participates in cross-functional/enterprise initiatives as a subject matter expert.
• Monitors service, productivity, and assesses efficiency levels within own function.
• Leads/facilitates action/remediation plans to address performance/risk/governance issues.
• Manages relationships within and across business lines and functions.
• Keeps abreast of emerging issues, trends, and evolving regulatory requirements.
• Maintains a culture of risk management and control.
• Participates fully as a member of the team, supporting a positive work environment.
• Provides thought leadership and industry knowledge for own area of expertise.
• Keeps current on emerging trends/developments and grows knowledge of the business, tools, and techniques.
• Participates in personal performance management and development activities.
• Keeps others informed about project status and relevant information.
• Contributes to team development of skills and capabilities through mentorship.
• Leads, motivates, and develops relationships with internal and external business partners/stakeholders.
• Contributes to a fair, positive, and equitable environment.
• Acts as a brand ambassador for your business area/function and the bank.

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+ years of relevant experience.
• Higher degree education and research tenure can be counted towards experience.
• Applicants must be either a US Citizen or have a US Resident Green Card authorization, without current or future need for TD sponsorship.

Skills

• Strong SQL
• Python
• Databricks
• Oracle
• Azure
• Cloud data platform experience
• Machine learning
• Generative AI
• Large language models (LLMs)
• Agentic AI
• Prompt engineering
• AI-powered business solutions
• AML
• Financial Crime
• Compliance
• Audit
• Risk
• Transaction Monitoring experience
• AML and transaction related system architectures preferred
• Supporting ad hoc analytics, internal audit, and regulatory data requests
• Strong data validation
• Reconciliation
• Testing
• Documentation
• Analytical problem-solving skills
• Ability to independently drive analysis from concept through delivery
• Strong organization
• Communication
• Stakeholder management skills
• Familiarity with business context and data infrastructure
• Ability to translate business problems to data science solutions
• Extracting and preparing data
• Applying statistics and advanced analytics
• Business acumen
• Visualizing insights
• Telling and illustrating stories with data
• Collaboration with data and business analysts, software engineers, data engineers, and application developers
• Analytical thought leadership
• Staying current on developments in data mining and data science
• Improving business processes
• Testing hypotheses
• Statistical validation of results
• Understanding principles and math behind the scientific process
• Continuous improvement activities
• Adhering to enterprise frameworks/methodologies
• Risk management and control
• Mentorship
• Knowledge transfer
• Developing productive working relationships

Location

• Charlotte, North Carolina, United States of America

Work Type

• 40 hours

Experience Level

• 5+ years of relevant experience

Education Level

• Undergraduate degree or advanced technical degree preferred
• Graduate's degree preferred

Salary/Compensations

• $96,130 - $155,950 USD

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
• Training programs
• Online learning platform
• Mentoring programs

About the Company

• TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores.
• We strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world.
• More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience.
• TD is deeply committed to being a leader in client experience.
• We believe that all colleagues, no matter where they work, are client facing.
• Together, we are reimagining what banking can be for our clients, colleagues and communities.

Equal Opportunity

• TD Bank is an equal opportunity employer.
• All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, status as a protected veteran or any other characteristic protected under applicable federal, state, or local law.
• If you are an applicant with a disability and need accommodations to complete the application process, please email TD Bank US Workplace Accommodations Program at USWAPTDO@td.com. Include your full name, best way to reach you and the accommodation needed to assist you with the applicant process.