Remote Data Scientist II: Financial Crime Analytics

TD Bank Group

New York (NY)

Remote

USD 76,000 - 125,000

Full time

3 days ago
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Job summary

TD Bank Group in New York, NY is seeking a Data Scientist II to develop and monitor financial crime risk models and analytics. You will collect data, apply advanced analytics, and deliver actionable insights for strategic decision-making.

The role emphasizes collaboration with cross-functional teams, production-grade modeling in a cloud environment, and ongoing learning within a regulated financial context.

Qualifications

  • Undergraduate degree or advanced technical degree preferred (math, physics, engineering, finance or CS).
  • Graduate degree preferred with either progressive project work experience, or;
  • 3+ years of relevant experience; higher degree education and research tenure can be counted

Responsibilities

  • Understand business context and data infrastructure and translate business problems to viable data science solutions.
  • Uses Python/SQL to extract data, apply statistics and advanced analytics, and extract insights for decision-makers.
  • Visualizes insights from data to tell stories clearly to stakeholders of varying technical levels.
  • Collaborates with data analysts, software engineers, data engineers, and application developers to develop scalable data science solutions.
  • Supports governance and risk initiatives, ensuring compliance with enterprise frameworks.

Skills

Python
SQL
Tree-based models
Advanced data analytics
Neural networks
Transaction Monitoring
Cloud deployment
AML domain knowledge

Education

Undergraduate degree
Graduate degree preferred

Job description

TD Bank Group in New York, NY is seeking a Data Scientist II to develop and monitor financial crime risk models and analytics. You will collect data, apply advanced analytics, and deliver actionable insights for strategic decision-making.

The role emphasizes collaboration with cross-functional teams, production-grade modeling in a cloud environment, and ongoing learning within a regulated financial context.

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