TD
TD
TD — жеке және бизнес-банкинг, сақтандыру, әл-ауқатты басқару және бағалы қағаздар қызметтері арқылы жеке тұлғаларға, бизнеске және институционалдық клиенттерге қызмет көрсететін Солтүстік Америкадағы ірі банктердің бірі. Оның кең ауқымды операциялық моделі банк ісі мен қаржы салаларында әртүрлі өңірлер мен мамандану бағыттарын қамтитын мансап мүмкіндіктерін ұсынады. TD тұрақты даму, әртүрлілік, теңдік, инклюзия және қоғамға әсер ету қағидаттарына да мән беріп, қамқорлыққа, құрметке және қызметкерлердің дамуына негізделген жұмыс мәдениетін қалыптастырады.

Data Scientist II, Financial Crime Risk Modeling

Develop and oversee financial crime risk models for TD, a global financial institution. Build cloud-based analytics solutions with Python, SQL, and advanced modeling techniques.

Сипаттама

  • Gather and analyze data through wrangling, profiling, visualization, and statistical inference to generate actionable insights and analytics solutions
  • Develop and monitor financial crime risk models
  • Work independently within a specialized business management function and provide direction to others
  • Offer specialized expertise, guidance, and advice to stakeholders and team members
  • Lead complex projects and initiatives requiring specialist knowledge or cross-functional process integration
  • Manage assigned work independently from initiation through completion
  • Interpret business needs and data infrastructure to design practical data science solutions
  • Extract and prepare data, apply statistical and advanced analytical methods, and derive insights from large datasets using business judgment
  • Present analytical findings clearly to decision-makers and stakeholders through effective visualization
  • Partner with data and business analysts, software engineers, data engineers, and application developers to create scalable data science solutions
  • Use data-driven findings to improve business processes
  • Teach organizational teams about hypothesis testing and statistical validation
  • Convert current information into continuous improvement initiatives
  • Contribute subject-matter expertise to cross-functional and enterprise initiatives
  • Track service delivery and productivity, implementing process and performance enhancements
  • Execute remediation plans addressing performance, risk, and governance concerns
  • Manage relationships across business lines, corporate functions, control functions, and stakeholder groups
  • Track emerging issues, trends, and regulatory requirements and evaluate their impact
  • Promote a strong culture of risk management and control
  • Contribute as a team member, support a constructive work environment, and raise issues promptly
  • Provide thought leadership and share knowledge across the team and business unit
  • Take part in performance management, professional development, and cross-training
  • Keep stakeholders updated on project progress and daily activities
  • Mentor colleagues and help strengthen team capabilities
  • Build effective working relationships with internal and external stakeholders
  • Represent the business area and TD Bank as a brand ambassador

Талаптар

  • Applicants must be U.S. citizens or U.S. lawful permanent residents (Green Card holders)
  • Applicants must not require current or future sponsorship from TD
  • An undergraduate or advanced technical degree is preferred in mathematics, physics, engineering, finance, computer science, or a related field
  • A graduate degree with progressively responsible project experience is preferred
  • At least 3 years of relevant experience is required; advanced education and research tenure may count toward this experience
  • Practical experience with modeling, particularly tree-based algorithms and advanced data analytics
  • Strong Python and SQL programming skills
  • Knowledge of the anti-money laundering (AML) domain is advantageous
  • Experience deploying production-grade models in a cloud environment
  • Experience with neural network architecture and transaction monitoring
  • Graduate degree candidates with approximately 1 or more years of experience may be considered

Артықшылықтар

  • Base salary and variable compensation or incentive awards, with eligibility for cash and/or equity incentives
  • 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 opportunities
  • Reward and recognition programs
  • Regular career, development, and performance discussions
  • Access to an online learning platform
  • Mentoring programs
  • Training and onboarding sessions
  • Opportunities for domestic travel

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