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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in developing and enhancing AML/CTF models and AI solutions while providing technical leadership in analytics. Proficient in translating complex business problems into actionable data science solutions and mentoring teams to improve data-driven decision-making.
Highest-signal resume keywords
Python ProficiencySQL ProficiencyMachine Learning ModelsFinancial Crimes AnalyticsGenAI Applications Experience
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Regression TechniquesClassification TechniquesAnomaly Detection TechniquesData AnalysisStatistical Validation
Soft Skills
Analytical Thought LeadershipCommunication SkillsMentoringCollaboration
Tools & Technologies
LLM APIsData Management SolutionsData Visualization Tools
Industry Keywords
AMLCTFCompliance RiskData ScienceRisk Management
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Provide technical leadership across the overall Analytics function
- Explain complex data analysis-related material in client interactions
- Develop, maintain, and enhance enterprise AML/CTF models and AI solutions
- Support regulatory requirements and changes, internal policies, and TD's global AML/CTF strategies
- Address emerging risks and follow industry best practices
- Work across customer rating, sanctions screening, transaction monitoring, emerging risk, model performance monitoring, analytics, and reporting
- Complete complex initiatives integrating cross-functional processes
- Work independently on analysis, design, and support of technical data management solutions
- Focus on longer-range planning and manage or prioritize multiple projects
- Work with business owners to identify opportunities and serve as an ambassador for data science
- Translate business problems into viable data science solutions
- Extract and prepare data, apply statistics and advanced analytics, and derive insights from big data
- Visualize insights and communicate results to decision-makers and stakeholders
- Collaborate with data and business analysts, software engineers, data engineers, and application developers
- Provide analytical thought leadership and stay current on data mining and data science developments
- Improve business processes through data-driven insights
- Educate the organization on hypothesis testing, statistical validation, and scientific principles
- Participate in cross-functional and enterprise initiatives as a subject matter expert
- Monitor service, productivity, and efficiency and implement process improvements
- Lead or facilitate remediation plans for performance, risk, and governance issues
- Manage relationships across business lines and control functions
- Monitor emerging issues, trends, and regulatory requirements
- Maintain a culture of risk management and control
- Mentor others, share knowledge, and contribute to team development
Requirements
What you’ll need- U.S. citizen or U.S. Lawful Permanent Resident (Green Card Holder)
- Must not require current or future TD sponsorship
- 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
- Strong foundation in regression, classification, machine learning models, and anomaly detection techniques
- Proficiency with Python and SQL is a must
- Experience in Financial Crimes / Compliance Risk Analytics is a plus
- Hands-on experience with GenAI applications is a strong plus, including fine-tuning or prompting LLMs
- Ability to build analytical solutions using LLM APIs and use GenAI applications to develop data labeling solutions
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
- Online learning platform
- Mentoring programs
- Training and onboarding sessions
- Domestic travel opportunities