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Data Scientist II, FCRM Modeling
TD. Collect data and use data science techniques, including data wrangling, profiling, visualization, and statistical inference, to uncover actionable insights or build analytics solutions .
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 inference, and advanced analytics, to develop financial crime risk models and actionable insights. Proficient in Python and SQL, with a strong understanding of business context and data infrastructure to drive process improvements and stakeholder engagement.
Highest-signal resume keywords
Data WranglingStatistical InferenceFinancial Crime Risk ModelingPython ProgrammingSQL Programming
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 VisualizationAdvanced AnalyticsModelingTree-Based AlgorithmsNeural Network Architecture
Soft Skills
Stakeholder ManagementMentoringCollaborationCommunicationProblem Solving
Tools & Technologies
Cloud EnvironmentTransaction Monitoring
Industry Keywords
AML DomainRisk ManagementData ScienceBusiness ManagementContinuous Improvement
Tech Stack
Tools & technologiesCloudPythonSQL
About the role
Key responsibilities & impact- Collect data and use data science techniques, including data wrangling, profiling, visualization, and statistical inference, to uncover actionable insights or build analytics solutions
- Develop and monitor financial crime risk models
- Work autonomously within a specialized business management function and provide work direction to others
- Provide specialized knowledge, advice, and guidance to stakeholders and team members
- Complete complex projects and initiatives requiring specialist knowledge or cross-functional process integration
- Perform tasks independently from end to end
- 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 use business acumen to extract insights from big data
- Visualize insights to clearly communicate results 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 data-driven insights
- Educate the organization on hypothesis testing and statistical validation
- Translate current information into continuous improvement activities
- Participate in cross-functional and enterprise initiatives as a subject matter expert
- Monitor service and productivity and implement process and performance improvements
- Implement remediation plans for performance, risk, and governance issues
- Manage relationships with business lines, corporate functions, control functions, and stakeholders
- Monitor emerging issues, trends, and regulatory requirements and assess impacts
- Maintain a culture of risk management and control
- Participate as a team member, support a positive work environment, and communicate issues promptly
- Provide thought leadership and transfer knowledge within the team and business unit
- Participate in performance management, development, and cross-training
- Keep stakeholders informed about project status and day-to-day activities
- Mentor others and contribute to team capability development
- Develop productive relationships with internal and external stakeholders
- Act as a brand ambassador for the business area and TD Bank
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
- 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
- 3+ years of relevant experience; higher degree education and research tenure can be counted
- Hands-on experience in modeling, especially tree-based algorithms and advanced data analytics
- Strong coding skills in Python and SQL
- Knowledge of the AML domain is a plus
- Experience delivering production-grade models in a cloud environment
- Experience in neural network architecture and Transaction Monitoring
- Graduate degree candidates with approximately 1+ years' experience will be considered
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