Join TD as a Senior Data Scientist II in Montreal, specializing in developing fraud detection models that enhance internal risk capabilities. Work in a hybrid model to tackle complex analytical challenges. In this influential role, you will manage the complete model development lifecycle, from data preparation to publication.

Your focus will be on optimizing machine learning models for fraud detection, collaborating closely with Engineering and Risk teams. Present analytical findings to both technical and non-technical audiences to drive decisions at the executive level. Key Responsibilities:

- Create and maintain models for fraud and identity verification
- Conduct exploratory analysis and data feature engineering




- Monitor and evaluate model performance against standards
- Collaborate with cross-functional teams for stakeholder alignment
- Deliver presentations and reports for diverse audiences

Requirements:

- Degree in Data Science, Statistics, or Computer Science
- 3-5+ years of experience in predictive modeling
- Robust skills in Python and SQL
- Ability to communicate technical concepts clearly
- Background in fraud analytics or cybersecurity is advantageous

Utilize your expertise to shape TD's innovative approaches to fraud management.

📌 Senior Data Scientist - Fraud Models (Montreal)
🏢 TD Bank Group
📍 Montreal