Data Scientist Financial Crimes Modeling

Data Scientist III - Financial Crimes Modeling

Company: TD BankLocation: New York, New York, United States of AmericaHours: 40 per weekPay Details: $96,130 - $155,950 USD annually

About the Role

TD is seeking a Data Scientist III to provide technical leadership across the Analytics function, with a focus on the US Financial Crime Risk Modeling & Advanced Analytics team. This role is crucial for developing, maintaining, and enhancing Anti-Money Laundering / Counter-Terrorism Financing (AML/CTF) models and AI solutions. You will contribute to regulatory compliance, support global AML/CTF strategies, address emerging risks, and ensure alignment with industry best practices.

We are looking for a Data Science specialist to innovate, drive, and support initiatives in areas such as customer rating, sanctions screening, transaction monitoring, emerging risk, model performance monitoring, analytics, and reporting.

Depth & Scope

• Accountable for significant business management areas with enterprise-wide impact.
• Acts as an enterprise or functional expert with deep specialized knowledge.
• Undertakes complex initiatives requiring seasoned specialist knowledge and cross-functional integration.
• Deals with senior/executive management.
• Works independently on analysis, design, and support of technical data management solutions.
• Focuses on longer-range planning (12+ months).
• Manages and prioritizes multiple projects.

Education & Experience

• Undergraduate or advanced technical degree preferred (e.g., math, physics, engineering, finance, computer science).
• Graduate degree preferred with 5+ years of relevant experience, or 3+ years with progressive project work experience.
• Higher degree education and research tenure can be counted.

Preferred Skills

• Proficient with Python or equivalent programming language and SQL.
• Experience in Financial Crimes / Compliance Risk Analytics is a plus.
• Experience in optimization, testing, and tuning of AML/CTF solutions, particularly transaction monitoring systems.
• Experience in machine learning model development, validation, and deployment.
• Experience with LLM-based solutions is a plus.
• Familiarity with cloud platforms (Azure) and modern data stack tools is a plus.

Customer Accountabilities

• Collaborate closely with business owners to identify opportunities and act as a data science ambassador.
• Translate business problems into viable data science solutions, understanding business context and data infrastructure.
• Utilize a wide range of programming languages and techniques for data extraction, preparation, and advanced analytics to derive insights from big data.
• Visualize data insights to effectively communicate findings to decision-makers and stakeholders at all technical levels.
• Partner with data analysts, software engineers, data engineers, and application developers to create scalable and sustainable data science solutions.

Shareholder Accountabilities

• Provide analytical thought leadership and stay current with data mining and data science advancements.
• Propose improvements to business processes through data insights to enhance effectiveness and efficiency.
• Educate the organization on hypothesis testing and statistical validation.
• Facilitate understanding of the principles and mathematics behind scientific processes to drive organizational alignment.
• Translate current information into continuous improvement activities for enhanced performance.
• Adhere to enterprise frameworks and methodologies.
• Ensure programs and policies meet business needs, comply with requirements, and align with priorities.
• Participate in cross-functional initiatives as a subject matter expert, identifying risks and providing guidance.
• Monitor service, productivity, and assess efficiency levels, implementing improvements.
• Lead or facilitate action plans to address performance, risk, or governance issues.
• Manage relationships across business lines and functions to ensure alignment with enterprise and regulatory requirements.
• Stay informed about emerging issues, trends, and evolving regulatory requirements.
• Maintain a culture of risk management and control.

Employee/Team Accountabilities

• Participate fully in the team, fostering a positive work environment that promotes service, quality, innovation, and teamwork.
• Provide thought leadership and industry knowledge, participating in knowledge transfer.
• Stay current on emerging trends and grow knowledge of the business, tools, and techniques.
• Engage in personal performance management and development, including cross-training.
• Keep others informed about project status and relevant information.
• Contribute to team skill development through mentorship and knowledge sharing.
• Lead and motivate relationships with internal and external partners to develop productive working relationships.
• Contribute to a fair, positive, and equitable environment supporting a diverse workforce.
• Act as a brand ambassador for the business area and the bank.

Physical Requirements

This role involves predominantly sedentary work, requiring continuous concentration, multitasking, and the use of standard office equipment. Occasional travel, responding quickly to sounds, standing, walking, squatting, bending, and reaching forward may be required. Physical demands are generally minimal.

Who We Are

TD is a top global financial institution and the fifth-largest bank in North America. We aim to make every interaction, product, and experience remarkably human and refreshingly simple for millions of households and businesses. Our 95,000+ colleagues drive innovation, foster relationships, and build a better banking experience. We are committed to leading in client experience and believe all colleagues are client-facing.

Total Rewards Package

Our Total Rewards package supports your financial, physical, and mental well-being. It includes base salary, variable compensation/incentive awards, health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, and career development opportunities.

Colleague Development

We support your career growth through regular development conversations, training programs, an online learning platform, and mentoring programs. If you're passionate about clients and relationships, TD offers diverse career paths to grow your expertise and make a meaningful impact in a respectful workplace that values diverse perspectives and fair opportunities.

Training & Onboarding

Comprehensive training and onboarding sessions are provided to ensure your success in your new role.

Interview Process

Candidates of interest will be contacted to schedule an interview. We strive to communicate outcomes to all applicants via email or phone call.

Accommodation

TD Bank is an equal opportunity employer. If you require accommodation to complete the application process, please email USWAPTDO@td.com with your full name, contact information, and the specific accommodation needed.

Key skills/competency

• Data Scientist
• Financial Crimes
• Machine Learning
• AML/CTF
• Python
• SQL
• Risk Modeling
• Advanced Analytics
• AI Solutions
• Data Visualization