Data Scientist II - Financial Crime Analytics

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

Job summary

TD Bank, N.A. in New York is seeking a Data Scientist II to advance financial crime risk modeling and analytics. You will collect data, apply advanced analytics, and build insights that guide decision making and strategic planning.

The role focuses on model development, monitoring, and cross-functional collaboration within a Financial Crime Risk Modeling & Advanced Analytics team. Strong Python/SQL skills and cloud experience are essential.

Qualifications

• 3+ years of relevant experience in data science or 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.

Responsibilities

• Understand business context and translate business problems to viable data science solutions.
• Use Python/SQL and statistics to extract insights from big data.
• Visualize insights to clearly tell a story to stakeholders.
• Collaborate with data engineers, analysts, software engineers to deploy scalable data science solutions.

Skills

Python

SQL

AML domain knowledge

Data analytics

Cloud deployment

Education

Undergraduate degree in math/CS

Graduate degree preferred

Tools

Cloud platforms (AWS/GCP)

Git

Job description

TD Bank, N.A. in New York is seeking a Data Scientist II to advance financial crime risk modeling and analytics. You will collect data, apply advanced analytics, and build insights that guide decision making and strategic planning.

The role focuses on model development, monitoring, and cross-functional collaboration within a Financial Crime Risk Modeling & Advanced Analytics team. Strong Python/SQL skills and cloud experience are essential.