AML Business Data Manager

About the role

Work Location: Mount Laurel, New Jersey, 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 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. 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 include 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 AML Business Data Manager 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: 3+ years exposure to securities and/or markets experience 3+ years of AML Transaction Monitoring Business Analyst Actimize experience 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 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 solutio

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