Lead Data Scientist - Financial Crimes Modeling

Work Location:

New York, New York, United States of America

Hours:

40

Pay Details:

$123,050 - $201,170 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 at TD. Our 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:

Please be aware that this role within this line of business is only eligible to those candidates that are U.S. Citizens / Green Card Holders, and will not be 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.

Job Description:

The Lead Data Scientist is responsible for collecting data and using a wide range of data science techniques, including but not limited to data wrangling, profiling and visualization, statistical inference, to uncover actionable insights or build analytics solutions that guide decision making and strategic planning.

In addition, the Lead Data Scientist provides oversight and consultative advice and guidance to others as the lead or top Data Scientist with enterprise or significant cross business mandate. This role may also evaluate, investigate and identify technical solutions and provide leading-edge techniques and lead innovation to create methodologies to solve a wide array of complex business or enterprise issues.

Department Overview:

(FCRM) Modeling & Advanced Analytics team is part of the FCRM organization and is responsible for developing, maintaining/enhancing, and governing the Enterprise Anti-Money Laundering/Counter-Terrorist Financing (AML/CTF) models/AI solutions to support TD's global AML/CTF strategies, address emerging risks, and comply with regulatory requirements/changes and internal policies.

We are seeking a Lead Data Scientist to collect data and use a wide range of data science techniques, including but not limited to data wrangling, profiling and visualization, statistical inference, to uncover actionable insights or build analytics solutions that guide decision making and strategic planning. In addition, the Lead Data Scientist will work closely with model owners, users, and key internal and external stakeholders (including Audit and Model Risk Management) to ensure models are well‑designed, fit for purpose, and aligned with internal and regulatory expectations.

Depth & Scope:

• Delivers advanced analytical capabilities above and beyond existing methods

• Exceptionally leads and runs analytical projects autonomously and creates and effectively delivers analytical presentations for executive audiences/stakeholders

• Showcases advanced level peer leadership, impacts and influences partner, and may mentor/coach peers

• Extensive understanding of the business supported and the overall bank with deep expertise and highly specialized knowledge of analytical concepts and techniques

• Acts as a key business partner, guides and collaborates with business leaders to prioritize and identify key business needs and provides impactful analytical insights

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;

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

Preferred Skills:

• In lieu of 7 years of relevant experience, we will consider 5 years of relevant experience

• Experience with ML model development such as decision trees and other classification approaches

• Proficient with Python or equivalent programming language and SQL

• Strong documentation and communication skills; able to explain technical results to non-technical stakeholders

• Experience with Business Analytics tools such as Tableau or Power BI

• Experience in Financial Crimes / Compliance Risk Analytics is a plus

• Familiarity with cloud platforms (Azure) and modern data stack tools is a plus

Customer Accountabilities:

• 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 programing lan