Data Scientist II — Financial Crime Analytics

TD; New York (NY); On-site; USD 76,000 - 125,000; Full time

Job summary

TD is seeking a Data Scientist II in New York to collect data and apply advanced analytics for actionable insights to guide decision making. You will join the Financial Crime Risk Modeling & Advanced Analytics team, building and monitoring risk models in a production environment.

You will work with cross-functional partners to translate business problems, develop scalable solutions, and communicate insights clearly to leadership while supporting enterprise risk management.

Qualifications

• Hands-on experience in modeling, especially in tree-based algorithms and advanced data analytics.
• Strong coding skills in Python and SQL.
• AML domain knowledge is a plus.
• Experience delivering production-grade models in a cloud environment.
• Experience in neural network architectures and transaction monitoring.
• Graduate degree candidates with ~1+ years’ experience will be considered.

Responsibilities

• Translate business problems into viable data science solutions.
• Collaborate with data and business analysts, software engineers, data engineers, and application developers to develop scalable data science solutions.
• Visualize insights from data to tell stories for decision-makers at all levels.

Skills

Tree-based modeling

Python

SQL

AML domain knowledge

Cloud deployment

Neural networks

Education

Undergraduate degree or advanced technical degree

Graduate degree preferred

Job description

TD is seeking a Data Scientist II in New York to collect data and apply advanced analytics for actionable insights to guide decision making. You will join the Financial Crime Risk Modeling & Advanced Analytics team, building and monitoring risk models in a production environment.

You will work with cross-functional partners to translate business problems, develop scalable solutions, and communicate insights clearly to leadership while supporting enterprise risk management.