Sr AML Business Data Manager

Job Description

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: 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. The Sr AML Business Data Manager will lead a team of business data analysts that is responsible for implementation, enhancement and maintenance of Anti Money Laundering (AML) Transaction Monitoring (TM) platform dedicated for TD Securities business. The candidate is expected to bring strong domain expertise in Securities Compliance, with a clear understanding of core product features and transaction patterns for trading, lending, and funding activities within capital markets environment. A working knowledge of trade lifecycle events and their intersection with AML and Trade Surveillance obligations is critical, along with hands-on familiarity with transaction monitoring platforms such as Actimize (including scenario/rule logic) or equivalent tools. The role requires the ability to translate typology driven requirements into implementable detection logic, partnering closely with Technology, Data, and Modeling teams to drive end-to-end delivery from data sourcing through to model execution and tuning. The required skills for the role includes articulating business requirements, challenging technical assumptions, and ensuring that implemented solutions meet intended risk coverage. Additionally, the role demands effective engagement with Audit and Compliance stakeholders to support issue validation, remediation planning, and closure of regulatory or internal audit findings within agreed timelines. 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

Required Skills