CIBC seeks a dedicated Quantitative Consultant for Risk Modelling in Toronto. Join our team to pioneer data-driven credit risk strategies using Python and advanced statistical models. In the role of Quantitative Consultant, you will focus on developing innovative statistical models that assess credit risk across various retail portfolios, including credit cards and residential mortgages.

This position requires deep expertise in statistical software like SAS and Python to create predictive models. Collaboration with various partner units to align business needs and communicate results is key to driving effective risk management. Key Responsibilities:

- Develop statistical/machine learning models for retail risk
- Analyze data to generate actionable insights




- Create technical documentation for model validation
- Collaborate with partners to understand business requirements
- Engage in problem-solving for credit risk strategies Requirements:
- Graduate degree in quantitative fields
- Expertise in SAS or advanced data modeling tools
- Experience in retail credit risk strategies
- Proven ability in statistical modeling and analysis
- Robust communication skills for technical insights Elevate credit risk management solutions with your expertise in modeling and analytical skills at CIBC.

📌 Quantitative Risk Modelling Consultant at CIBC (Toronto)
🏢 CIBC
📍 Toronto