At CIBC, we require a Passionate Quantitative Analyst for Risk Modelling in Toronto. Drive credit risk assessments leveraging your expertise in statistical modeling and innovative solutions.
As a Quantitative Consultant, you will play a crucial role in designing data-driven strategies for credit risk management across various retail products. This position emphasizes the use of SAS, R, and Python to develop effective statistical models. Engaging with multiple stakeholders to communicate insights and collaborate on risk strategies is vital for this role.
Key Responsibilities:
• Design and execute predictive models for retail risk
• Generate insights through advanced data analysis
• Document models clearly for validation




• Work with stakeholders to address business challenges
• Innovate solutions for market opportunities
Requirements:
• Master’s degree in Statistics, Math, or related field
• Proficient in SAS or similar advanced modeling tools
• Experience in retail credit risk analytics
• Solid analytical skills for uncovering data insights
• Ability to communicate technical findings effectively
Utilize your quantitative skills to enhance CIBC's credit risk modeling strategies and support effective decision-making.
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📌 CIBC Quantitative Risk Analyst Role (Toronto)
🏢 CIBC
📍 Toronto