Use SQL and Python to uncover fraud insights as a Data Scientist II with TD in Toronto, Ontario. Work 37.5 hours weekly.

Within TD’s Analytics, Insights, & Artificial Intelligence business, you will support the Canadian Fraud Performance Management Team. This Data Scientist II position focuses on big data, fraud strategies, and evolving threats. You will consider risk appetite, customer experience, and operational capacity while managing first- and third-party fraud.

Key Responsibilities:

- Develop and deploy product-specific fraud strategies
- Identify fraud vectors and optimize existing rules
- Monitor products, channels, and risk segments
- Provide analysis supporting executive decision-making
- Investigate high-risk fraud threats under tight timelines

Requirements:

- Advanced SQL and Python proficiency
- Two-plus years of analytical experience
- Knowledge of NumPy, pandas, matplotlib, or R
- Technical undergraduate degree
- Ability to communicate with technical and non-technical teams

Bring data analysis, fraud strategy, and independent investigation skills to TD’s Toronto-based Canadian fraud management team.

📌 Fraud Analytics Data Scientist (Toronto)
🏢 TD
📍 Toronto