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 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.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
101-250 employees