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About the Role

The Data Scientist III provides technical leadership for the Analytics function, offering deep technical knowledge and expertise in client interactions to explain complex data analysis.

Responsibilities

• Provides technical leadership across the overall Analytics function.
• Explains complex data analysis material to clients.
• Develops, maintains, and enhances Enterprise Anti-Money Laundering / Counter-Terrorism Financing (AML/CTF) models/AI solutions.
• Supports TD's global AML/CTF strategies.
• Addresses emerging risks in accordance with best industry practice.
• Works closely with business owners to identify opportunities and serves as an ambassador for data science.
• Translates business problems into viable data science solutions.
• Extracts and prepares data using various programming languages and techniques.
• Applies statistics and advanced analytics to extract insights from big data.
• Visualizes insights from data to convey meaning to decision-makers and stakeholders.
• Collaborates with data and business analysts, software engineers, data engineers, and application developers.
• Develops scalable and sustainable data science solutions.
• Provides analytical thought leadership and stays current on data mining developments.
• Solicits and offers ideas for improving business processes through insights.
• Educates the organization on approaches like testing hypotheses and statistical validation.
• Helps the organization understand the principles and math behind the scientist process.
• Translates up-to-date information into continuous improvement activities.
• Adheres to enterprise frameworks or methodologies.
• Ensures programs/policies/practices are well managed and meet business needs.
• Participates in cross-functional/enterprise initiatives as a subject matter expert.
• Monitors service, productivity, and assesses efficiency levels within own function.
• Implements continuous process/performance improvements.
• Leads/facilitates action/remediation plans to address performance/risk/governance issues.
• Manages relationships within and across various business lines, corporate and/or control 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/or industry knowledge for own area of expertise.
• Participates in knowledge transfer within the team and business unit.
• 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

• 5+ year of relevant experience.
• 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 research tenure.
• Proficiency with Python and SQL is a must.
• Ability to build analytical solutions using LLM APIs.
• Use GenAI applications to develop data labeling solutions.
• Familiar with the business context and data infrastructure.
• Experience with regression, classification, and machine learning models and anomaly detection techniques.
• Hands-on experience with GenAI applications is a strong plus.
• Experience in Financial Crimes / Compliance Risk Analytics is a plus.

Skills

• Data Science
• Analytics
• Artificial Intelligence
• Regression
• Classification
• Machine Learning
• Anomaly Detection
• Python
• SQL
• Financial Crimes
• Compliance Risk Analytics
• GenAI
• LLMs
• LLM APIs
• Data Labeling
• Data Analysis
• Statistical Validation
• Hypothesis Testing
• Data Mining
• Risk Management
• Mentorship

Location

• Mount Laurel, New Jersey, United States of America

Work Type

• 40 hours

Experience Level

• 5+ years

Education Level

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

Salary/Compensations

• $96,130 - $155,950 USD

Benefits

• Growth opportunities and skill development
• Base salary and variable compensation/incentive awards
• 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
• Online learning platform
• Mentoring programs
• Training and onboarding sessions

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.
• Strives 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.
• Believes that all colleagues, no matter where they work, are client facing.
• Reimagining what banking can be for 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.