Step into a key analytics role with TD as a Data Scientist II in a hybrid setting in Montreal. Develop and optimize fraud detection models while collaborating with diverse teams to drive meaningful risk capabilities. As a Data Scientist II, you will engage in end-to-end model development, including data discovery, feature engineering, and model validation.

Your expertise in Python and SQL will be instrumental in creating analytical solutions that address fraud and authentication challenges. Collaborate with various departments to effectively communicate findings with stakeholders and make data-driven decisions. Key Responsibilities:

- Develop machine learning models for fraud detection and authentication
- Lead end-to-end model development activities




- Evaluate internal models against vendor models
- Build reproducible analytical workflows using Python and SQL
- Prepare technical documentation and executive presentations

Requirements:

- Undergraduate or graduate degree in a quantitative field
- 3-5+ years of experience in data science and machine learning
- Proficiency in Python, SQL, and statistical analysis
- Robust presentation and communication skills
- Experience with model validation or fraud analytics preferred

Leverage your data science skills to contribute to TD's innovative fraud and authentication capabilities.

📌 Data Scientist II at TD Montreal
🏢 TD Bank Group
📍 Montreal