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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data science techniques, including data wrangling, statistical modeling, and machine learning, while effectively communicating insights to stakeholders. Proficient in Python and SQL, with a strong understanding of financial crime compliance and model governance.
Highest-signal resume keywords
Data WranglingStatistical ModelingMachine LearningPython ProficiencySQL Proficiency
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Science TechniquesStatistical InferenceAdvanced Quantitative AnalysisAnalytics Solutions DevelopmentData VisualizationHypothesis TestingBig Data InsightsAML/CTF ModelsPerformance EvaluationLLM Prompt Engineering
Soft Skills
Strong Communication SkillsCollaborationMentorshipStakeholder ManagementKnowledge Transfer
Industry Keywords
Financial CrimeAnti-Money LaunderingSanctions ScreeningCompliance Risk AnalyticsResponsible AIModel Governance
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Collect data and apply data science techniques, including data wrangling, profiling, visualization, and statistical inference
- Uncover actionable insights and build analytics solutions that guide decision-making and strategic planning
- Develop, maintain, and enhance AML/CTF models and AI solutions
- Support customer rating, sanctions screening, transaction monitoring, emerging risk, model performance monitoring, analytics, and reporting initiatives
- Understand business context and data infrastructure and 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 clearly to decision-makers and stakeholders
- Collaborate with data and business analysts, software engineers, data engineers, and application developers on scalable data science solutions
- Improve business processes through insights, hypothesis testing, and statistical validation
- Educate the organization on data science principles and mathematical foundations
- Participate in cross-functional and enterprise initiatives as a subject matter expert
- Monitor service, productivity, efficiency, risk, and governance issues and implement remediation or continuous improvement plans
- Manage relationships with business lines, corporate functions, control functions, and stakeholders
- Keep current with emerging issues, trends, and regulatory requirements
- Participate in team development, knowledge transfer, mentorship, and cross-training
- Perform occasional domestic travel and continuous sedentary, multitasking, office-equipment, concentration, reading, writing, and arithmetic activities
Requirements
What you’ll need- Applicants must be either a U.S. citizen or a U.S. Lawful Permanent Resident (Green Card Holder)
- Must not require current or future TD sponsorship
- 3+ years of relevant experience, or higher degree education and research tenure may be counted
- Undergraduate degree or advanced technical degree preferred
- Graduate degree preferred in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related quantitative discipline
- Proficiency in Python and SQL coding
- Hands-on experience with advanced quantitative analysis, statistical modeling, and machine learning
- Strong communication skills and ability to present analytical findings to technical and non-technical audiences
- Experience with LLM prompt engineering and performance evaluation is a plus
- Knowledge of financial crime, anti-money laundering, sanctions screening, watchlist screening, or compliance risk analytics is a plus
- Awareness of Responsible AI and model governance is a plus
Benefits
Comp & perks- 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 a manager
- Online learning platform
- Mentoring programs
- Training and onboarding sessions
- Remote work arrangement