AML Business Data Manager

TD BankMount Laurel, NJ
Onsite

About The Position

The AML Business Data Manager will lead a team of business data analysts responsible for the implementation, enhancement, and maintenance of the Anti-Money Laundering (AML) Transaction Monitoring (TM) platform for TD Securities. This role requires strong domain expertise in Securities Compliance, including a clear understanding of core product features and transaction patterns for trading, lending, and funding activities within capital markets. 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 like Actimize or equivalent tools. The role involves translating typology-driven requirements into implementable detection logic, collaborating with Technology, Data, and Modeling teams to ensure end-to-end delivery from data sourcing to model execution and tuning. Key responsibilities include articulating business requirements, challenging technical assumptions, ensuring solutions meet risk coverage, and engaging with Audit and Compliance stakeholders to support issue validation, remediation planning, and closure of findings. The AML Business Data Manager provides technical leadership across the Analytics function, offering deep technical knowledge and expertise in client interactions to explain complex data analysis. This position generally accounts for a significant business management area with enterprise-wide impact, requiring broad managerial and deep specialized knowledge at enterprise, business, regulatory, and industry levels. It involves undertaking complex initiatives, working independently on technical data management solutions, and focusing on longer-range planning (12 months or greater). The role may also involve managing and prioritizing multiple projects.

Requirements

  • Authorization to work in the United States without current or future need for TD sponsorship.
  • Strong domain expertise in Securities Compliance.
  • Clear understanding of core product features and transaction patterns for trading, lending, and funding activities within a capital markets environment.
  • Working knowledge of trade lifecycle events and their intersection with AML and Trade Surveillance obligations.
  • Hands-on familiarity with transaction monitoring platforms such as Actimize (including scenario/rule logic) or equivalent tools.
  • Ability to articulate business requirements.
  • Ability to challenge technical assumptions.
  • Effective engagement with Audit and Compliance stakeholders.
  • 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.
  • 3+ years exposure to securities and/or markets experience.
  • 3+ years of AML Transaction Monitoring Business Analyst experience.
  • Actimize experience.
  • Familiarity with the business context and data infrastructure.
  • Ability to translate business problems to viable data science solutions.
  • Proficiency in a wide range of programming languages (e.g. Python) and techniques for extracting and preparing data, applying statistics and various advanced analytics.
  • Ability to visualize insights from data to tell and illustrate stories that clearly convey meaning to decision-makers and stakeholders.
  • Ability to collaborate with data and business analysts, software engineers, data engineers, and application developers.
  • Analytical thought leadership.
  • Ability to stay current on developments in data mining and the application of data science.
  • Ability to solicit and offer ideas for improving business processes.
  • Ability to educate the organization on approaches like testing hypotheses and statistical validation.
  • Ability to help the organization understand the principles and math behind the scientist process.
  • Ability to translate up-to-date information into continuous improvement activities.
  • Adherence to enterprise frameworks or methodologies.
  • Ability to ensure programs/policies/practices are well managed, meet business needs, comply with requirements, and align with priorities.
  • Ability to participate in cross-functional/enterprise initiatives as a subject matter expert.
  • Ability to monitor service, productivity and assess efficiency levels and implement improvements.
  • Ability to lead/facilitate and/or implement action/remediation plans.
  • Ability to actively manage relationships within and across business lines, corporate and/or control functions.
  • Ability to keep abreast of emerging issues, trends, and evolving regulatory requirements.
  • Ability to maintain a culture of risk management and control.
  • Ability to participate fully as a member of the team and support a positive work environment.
  • Ability to provide thought leadership and/or industry knowledge.
  • Ability to keep current on emerging trends/developments and grow knowledge of the business, related tools and techniques.
  • Ability to participate in personal performance management and development activities.
  • Ability to keep others informed about project status and relevant information.
  • Ability to contribute to team development of skills and capabilities through mentorship and knowledge sharing.
  • Ability to lead, motivate and develop relationships with internal and external business partners/stakeholders.
  • Ability to contribute to a fair, positive and equitable environment.
  • Ability to act as a brand ambassador for your business area/function and the bank.

Nice To Haves

  • 5+ year of relevant experience with a graduate degree.
  • Higher degree education and research tenure can be counted.

Responsibilities

  • Lead a team of business data analysts responsible for the implementation, enhancement, and maintenance of the AML Transaction Monitoring platform for TD Securities.
  • Translate typology-driven requirements into implementable detection logic.
  • Partner closely with Technology, Data, and Modeling teams to drive end-to-end delivery from data sourcing through to model execution and tuning.
  • Articulate business requirements and challenge technical assumptions.
  • Ensure that implemented solutions meet intended risk coverage.
  • Engage effectively with Audit and Compliance stakeholders to support issue validation, remediation planning, and closure of regulatory or internal audit findings.
  • Provide technical leadership across the overall Analytics function.
  • Explain complex data analysis related material to clients.
  • Undertake and complete a variety of complex initiatives requiring seasoned specialist knowledge and/or the integration of cross-functional processes.
  • 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.
  • 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 business processes through insights with the objective of improving effectiveness and efficiency.
  • Educates the organization on approaches, such as testing hypotheses and statistical validation of result.
  • Helps the organization understand the principles and the math behind the scientist process to drive organizational alignment.
  • Translates up to date information into continuous improvement activities that enhances performance.
  • Adheres to enterprise frameworks or methodologies that relate to activities for business area.
  • Ensures respective programs/policies/practices are well managed, meet business needs, comply with internal and external requirements, and align with business priorities.
  • Participates in cross-functional/enterprise initiatives as a subject matter expert helping to identify risk/provide guidance for complex situations.
  • Monitors service, productivity and assesses efficiency levels within own function and implements continuous process/performance improvements where opportunities exist.
  • Leads/facilitates and/or implements action/remediation plans to address performance/risk/governance issues.
  • Actively manages relationships within and across various business lines, corporate and/or control functions and ensures alignment with enterprise and/or regulatory requirements.
  • Keeps abreast of emerging issues, trends, and evolving regulatory requirements and assesses potential impacts.
  • Maintains a culture of risk management and control, supported by effective processes in alignment with risk appetite.
  • Participates fully as a member of the team, supports a positive work environment that promotes service to the business, quality, innovation and teamwork and ensures timely communication of issues/points of interest.
  • Provides thought leadership and/or industry knowledge for own area of expertise in own area and participates in knowledge transfer within the team and business unit.
  • Keeps current on emerging trends/developments and grows knowledge of the business, related tools and techniques.
  • Participates in personal performance management and development activities, including cross training within own team.
  • Keeps others informed and up to date about the status/progress of projects and/or all relevant or useful information related to day-to-day activities.
  • Contributes to team development of skills and capabilities through mentorship of others, by sharing knowledge and experiences and leveraging best practices.
  • Leads, motivates and develops relationships with internal and external business partners/stakeholders to develop productive working relationships.
  • Contributes to a fair, positive and equitable environment that supports a diverse workforce.
  • Acts as a brand ambassador for your business area/function and the bank, both internally and/or externally.

Benefits

  • Base salary
  • Variable compensation/incentive awards (e.g., eligibility for cash and/or equity incentive awards, generally through participation in an incentive plan)
  • Health and well-being benefits
  • Savings and retirement programs
  • Paid time off (including Vacation PTO, Flex PTO, and Holiday PTO)
  • Banking benefits and discounts
  • Career development
  • Reward and recognition
  • Training programs
  • Online learning platform
  • Mentoring programs
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