Shape credit risk management as a Lead Data Scientist in Montreal with National Bank. Leverage your expertise in quantitative methods and model validation in a flexible, hybrid work setting. In this Senior Data Scientist role, you will validate credit decision models for Personal Banking and SMEs, provide technical leadership, and contribute to strategic projects.

Your work will directly influence the Bank's decision-making strategies, ensuring strong risk management practices. Key Responsibilities:

- Conduct independent model risk assessments for credit decisions
- Analyze model performance, identifying gaps and recommending actions
- Manage model lifecycle following regulatory and internal standards
- Draft validation reports, communicating risks and impacts clearly
- Participate in strategic projects impacting credit processes Requirements:
- Bachelor’s or Master’s degree and 7-10 years of experience
- Strong knowledge of quantitative methods and AI techniques
- Proficiency in SAS, R, or Python
- Extensive experience in credit risk and model validation
- Skills in technical coordination within analytical environments Use your data science expertise to enhance model validation and risk management at National Bank.

📌 Lead Data Scientist at National Bank (Montreal)
🏢 Banque Nationale du Canada
📍 Montreal