Data Scientist

A career as a Data Scientist within the Credit Risk Models team at National Bank means putting your modeling expertise to work in assessing credit risk for both Retail and Commercial clients. You develop and deploy models based on rigorous statistical and financial analyses applied to large datasets. You also contribute to monitoring model performance to ensure their reliability and relevance over time.Your autonomy, rigor, and proactive mindset will allow you to stand out.

Your role

• Develop regulatory PD, LGD, and EAD models using a rigorous and well-documented approach
• Perform quantitative analyses of Retail and Commercial credit portfolios
• Explain and defend developed models to internal stakeholders and regulatory authorities
• Actively collaborate with IT partners and business lines to ensure proper understanding and implementation of the models
• Monitor model performance using recognized statistical measures (backtesting)

Your team

Within the Credit Analytics and Climate Risk sector, you will be part of a vice-presidency of approximately one hundred colleagues and a team of four expert peers. You report to the Director - Analytics - Credit Risk Models.

Our team stands out for its diverse expertise in credit risk and quantitative methods. You will benefit from a flexible and hybrid work environment.

Your profile

• Master’s degree in a quantitative field (mathematics, statistics, econometrics, financial engineering, or equivalent)
• 5 to 8 years of relevant experience in quantitative analysis, modeling, or credit risk
• Experience in credit risk modeling within a banking or financial environment
• Hands-on experience with at least one of the following frameworks: IFRS 9 or Basel Accords
• Strong programming and data manipulation skills using SQL and SAS
• Strong written communication skills (technical documentation, PowerPoint presentations)