Data Scientist III - FCRM

Data Scientist III

Work Location:

Charlotte, North Carolina, 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.

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 be either a US Citizen or have a US Resident Green Card authorization, without current or future need for TD sponsorship.

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.

The US FCRM Data Analytics team supports financial crime risk management through ad hoc analytics, internal audit and regulatory data requests, BAU reporting, machine learning, and advanced analytical solutions. This role will focus on complex analytics initiatives requiring strong technical skills, AML knowledge, AI/ML expertise, and the ability to independently translate business requirements into actionable analysis. The successful candidate will work with large and complex datasets to develop analytics, reporting, and AI-driven solutions that support risk management, regulatory commitments, investigative teams, and strategic business initiatives.

• 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

• 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

• Strong SQL, Python, Databricks, Oracle, Azure, and cloud data platform experience.
• Experience with machine learning, generative AI, large language models (LLMs), agentic AI, prompt engineering, and AI-powered business solutions.
• AML, Financial Crime, Compliance, Audit, Risk, or Transaction Monitoring experience.
• Experience with AML and transaction related system architectures preferred.
• Experience supporting ad hoc analytics, internal audit, and regulatory data requests.
• Strong data validation, reconciliation, testing, documentation, and analytical problem-solving skills.
• Ability to independently drive analysis from concept through delivery.
• Strong organization, communication, and stakeholder management skills.

• Works closely with business owners to identify opportunities and serves as an ambassador for data science
• Is familiar with the business context and data infrastructure and can translate business problems to viable data science solutions
• Uses a wide range of programming languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics, along with business acumen to extract insights from the big data
• Visualizes insights from the data to tell and illustrate stories that clearly convey the meaning of results to decision-makers and stakeholders at every level of technical understanding
• Collaborates with other partners, such as data and business analysts, software engineers, data engineers, and application developers to develop scalable and sustainable data science solutions that retains long term benefit to the business

• Analytical thought leadership and stays current on developments in data mining and the application of data science
• Solicits and offers ideas for improving…