Data Scientist - Financial Crime Customer Risk (AML​/KYC)

Data Scientist III

Work location:

New York, New York, United States of America

Hours:

40

Pay details: $96,130 - $155,950 USD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience  compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Line of business:
Analytics, Insights, & Artificial Intelligence

Job description:

This role is not eligible for TD work visa support or sponsorship (e.g., H-1B, F-1 OPT/STEM OPT, TN or other work visa authorizations). Applicants must have authorization to work in the United States without current or future need for TD sponsorship

TD's Financial Crime Risk Management (FCRM) organization protects the Bank, its customer and the broader financial system from money laundering, terrorist financing, sanctions evasion, and related criminal activity. Within FCRM, the Know Your Customer (KYC) program ensures the Bank maintains a current, accurate understanding of its customers and the risk they present. The US KYC Customer Risk Rating (CRR) team is the analytical core of that program: we design, enhance, and operate the model and data pipelines that assign each customer a risk rating – the rating that drives due-diligence intensity, review cadence, and downstream compliance activity across the enterprise.

The team combines data science, data engineering, and regulatory acumen, working primarily in Oracle SQL, Python, and Azure/Databricks, and partners closely with model risk, compliance testing, and technology stakeholders.

The Data Scientist III provides technical leadership across the overall Analytics function which may have an enterprise mandate. This role generally provides deep technical knowledge and expertise in client interactions to explain complex data analysis related material.

Depth & scope:

• Generally accountable for a significant business management area that typically has enterprise-wide impact or accountability
• Enterprise or functional expert, requiring broad managerial and deep specialized knowledge at the enterprise, business, regulatory and industry levels
• Undertakes and completes a variety of complex initiatives requiring seasoned specialist knowledge and/or the integration of cross functional processes
• Position typically deals with senior/executive management
• Works independently on activities related to analysis, design and support of technical data management solutions on various projects ranging in complexity and size
• Focuses on longer-range planning for functional area (e.g. 12 months or greater)
• May manage and prioritize multiple projects at a given time

Education & 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
• 5+ year of relevant experience; higher degree education and research tenure can be counted

Preferred skills:

• Experience in AML/BSA, KYC, sanctions, or broader financial crime compliance; familiarity with customer risk rating methodologies
• Advanced SQL in Oracle or comparable enterprise RDBMS, including performance tuning of large production queries
• Hands-on experience with Azure, Databricks, and Spark-based analytics at scale
• Delivering analytics to non-technical stakeholders
• Experience operating in a model-governed environment – model change documentation, impact analysis, and supporting validation
• Experience supporting regulatory exams or internal audit requests

Customer accountabilities:

• Works closely with business owners to identify opportunities and serves as an ambassador for data science
• Is familiar with the…