Pursue your ambitions as a Senior Data Scientist at National Bank's Risk Management team, specializing in model validation and risk assessment. Enjoy the advantages of a hybrid work environment while making impactful contributions. This role demands your solid quantitative skills and 5 years of relevant experience to assess and validate mathematical models.

You’ll work closely with stakeholders to ensure the accuracy of inputs, verify assumptions, and document findings comprehensively. Your analytical prowess will directly influence risk management strategies and decision-making. Key Responsibilities:
Assess mathematical specifications and regulatory compliance
Verify the quality and relevance of input data




Conduct performance stability analyses and benchmarking
Identify uncertainties and document model risks
Collaborate with governance committees and senior management Requirements:
Bachelor’s degree in statistics or a related field with 5 years of experience
Proficient in SAS Base, SAS EG, Python, Matlab, or R
Understanding of Basel II Accord standards
Insight into financial crime risks
Experience with credit risk parameter estimation Bring your expertise in data science to National Bank and contribute to cutting-edge risk management solutions.

📌 Senior Data Scientist Hybrid Position Montreal
🏢 National Bank of Canada
📍 Montreal