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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 concepts and advanced analytics, with a strong ability to translate business problems into actionable data-driven solutions. Proven leadership in managing data science initiatives and mentoring teams while maintaining a focus on business strategy and risk management.
Highest-signal resume keywords
Data Science ConceptsMachine Learning ModelsStatistical AnalysisPython ProgrammingBusiness Acumen
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Collect data and use data wrangling, profiling, visualization and statistical inference to uncover actionable insights and build analytics solutions
- Own the end-to-end decisioning and pricing optimization engine
- Use large-scale historical and market data to form hypotheses, conduct analyses, develop and evaluate machine learning models, and drive business decisions
- Analyze large-scale data and apply statistical models to recommend insights and solve business objectives
- Collaborate with business partners to identify and refine business strategies, analyze alternative deal structures and deliver business P&L expectations
- Stay current on industry trends and optimization methodologies in auto finance markets
- Lead complex, highly visible, high-risk data science and technology initiatives with enterprise impact
- Deliver advanced analytical capabilities and create analytical presentations for executive audiences and stakeholders
- Act as a key business partner and provide consultative and strategic guidance to business and executive leaders
- Set direction and oversee the work of other data science professionals
- Mentor, coach and provide thought leadership to peers and cross-functional teams
- Collaborate with data and business analysts, software engineers, data engineers and application developers to develop scalable data science solutions
- Lead strategic development efforts for new and emerging data science projects
- Build cutting-edge analytic solutions with cross-functional teams
- Identify analytical trends and data needs, generate hypotheses and create analytical models
- Create and implement processes and systems to extract knowledge and insights from data
- Identify and manage risks, implement remediation plans and support governance requirements
- Maintain relationships across business lines, corporate functions and control functions
- Participate in enterprise initiatives as a data science subject matter expert
- Support team development through knowledge transfer, mentorship and best-practice sharing
- Keep stakeholders informed about project status and relevant day-to-day information
- Promote a positive, equitable and diverse work environment and act as a TD brand ambassador
Requirements
What you’ll need- Undergraduate degree or advanced technical degree preferred, e.g. math, physics, engineering, finance or computer science
- Graduate degree preferred with either progressive project work experience, or 10+ years of relevant experience
- Higher degree education and research tenure can be counted toward experience
- Extensive understanding of the supported business and overall bank
- Deep expertise and highly specialized knowledge of analytical concepts and techniques
- Expertise in data science concepts, principles, practices and standards
- Wide range of programming languages, such as Python
- Experience extracting and preparing data, applying statistics and advanced analytics
- Business acumen and ability to extract insights from big data
- Ability to translate business problems into viable data science solutions
- Ability to work with structured and unstructured data
- Knowledge of data mining and data science applications
- Knowledge of mathematics and statistics
- Understanding of IT risk-based approaches to data science
- Ability to identify and manage risks and escalate high-risk activities
- Ability to assess regulatory requirements and potential impacts
- Occasional domestic travel
- Ability to perform sedentary work and operate standard office equipment continuously
- Ability to sit and concentrate for long periods continuously
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
- Equal opportunity employment and disability accommodations
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 WranglingStatistical InferenceData VisualizationData MiningAnalytical ModelingRisk ManagementData PreparationAdvanced AnalyticsHypothesis GenerationDecisioning Optimization
Soft Skills
LeadershipMentorshipCollaborationStrategic GuidanceCommunication
Industry Keywords
Auto FinanceBusiness P&LEnterprise InitiativesGovernance RequirementsData Science Applications