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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AML Data Governance, data management solutions, and advanced analytics, with a strong ability to translate business needs into actionable data science strategies. Proven track record in regulatory compliance, risk management, and fostering collaboration across technical and non-technical teams.
Highest-signal resume keywords
AML Regulatory ReportingSQL Database ManagementData Pipeline DevelopmentAdvanced Analytics and Data ScienceRisk Management Framework
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonData MiningStatisticsETLData VisualizationData GovernanceData ControlsBig Data ManagementData Infrastructure
Soft Skills
Analytical ThinkingCollaborationCommunicationProject ManagementMentoring
Industry Keywords
Financial Crimes Risk ManagementAMLData Governance ProcessThree Lines of DefenseContinuous Improvement
Tech Stack
Tools & technologiesETLPythonSQL
About the role
Key responsibilities & impact- Provide technical leadership across the overall Analytics function, potentially with an enterprise mandate
- Support US FCRM (Financial Crimes Risk Management) and TD’s Data Governance Process
- Provide strategic and day-to-day direction for complex AML Data Governance program activities
- Provide operational support and address or escalate related issues
- Oversee timely execution of periodic and event-driven reviews for regulatory alignment
- Work independently on analysis, design, and support of technical data management solutions
- Manage and prioritize multiple projects and longer-range functional planning
- Work with business owners to identify opportunities and serve as a data science ambassador
- Translate business problems into viable data science solutions
- Extract and prepare data, apply statistics and advanced analytics, and derive insights from big data
- Visualize data insights and communicate results to technical and non-technical stakeholders
- Collaborate with analysts, software engineers, data engineers, and application developers on scalable data science solutions
- Provide analytical thought leadership and educate the organization on hypothesis testing and statistical validation
- Improve business processes and implement continuous improvement activities
- Participate in cross-functional and enterprise initiatives as a subject matter expert
- Identify risks, provide guidance, and implement action or remediation plans
- Monitor service, productivity, efficiency, and performance improvements
- Manage relationships with business lines, corporate functions, control functions, and stakeholders
- Monitor emerging issues, trends, and regulatory requirements
- Maintain risk management and control processes aligned with risk appetite
- Participate in knowledge transfer, mentoring, cross-training, and team development
- Keep stakeholders informed about project status and relevant day-to-day information
- Build productive relationships with internal and external business partners
- Act as a brand ambassador for TD and the business area
Requirements
What you’ll need- Undergraduate degree or advanced technical degree preferred, such as math, physics, engineering, finance, or computer science
- Graduate's degree preferred with either progressive project work experience or 5+ years of relevant experience; higher degree education and research tenure can be counted
- Extensive experience with AML and financial crimes-related regulatory reporting
- Technical know-how in SQL and databases
- Advanced knowledge of data controls to mitigate AML data risk
- Solid understanding of how data enables AML capabilities/use cases and ability to explain implications from an AML risk and control perspective
- Advanced knowledge of source-to-consumption data pipelines, data lakes, and ETL
- Advanced knowledge of the Three Lines of Defense in a risk management framework
- Ability to manage multiple workstreams
- Knowledge of data mining, statistics, advanced analytics, and data science
- Proficiency with programming languages such as Python
- Ability to work with big data and visualize insights for decision-makers
- Ability to understand business context and data infrastructure
- Ability to collaborate with data and business analysts, software engineers, data engineers, and application developers
Benefits
Comp & perks- Base salary and variable compensation/incentive awards, including eligibility for cash and/or equity incentive awards
- 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
- Regular career, development, and performance conversations with manager
- Online learning platform
- Mentoring programs
- Training and onboarding sessions
- Domestic travel opportunities
- Workplace accommodations for applicants with disabilities