Senior Consultant in Credit Risk Analytics

CIBC is seeking a Senior Consultant for Advanced Analytics and Quantitative Risk Modeling in Toronto. This hybrid role emphasizes developing and validating risk models to mitigate credit risk through advanced statistical techniques.

In this pivotal role, you will have the flexibility to manage your work within a hybrid model of 1 to 3 days on-site per week. You will perform quantitative analyses, translating complex findings into actionable insights, while offering subject-matter expertise in RESL credit risk analytics. Additional responsibilities include optimizing risk-reward strategies and leading advanced analytics projects.

Key Responsibilities:

• Develop, validate, and monitor risk models and scorecards

• Conduct detailed quantitative analysis and present recommendations

• Design data-driven acquisition and management strategies

• Provide expertise on RESL credit risk and analytics

• Lead advanced analytics projects from conception to implementation

Requirements:

• Bachelor's or Master's in a quantitative field

• 5 years of experience in data analytics and machine learning

• Expertise in Python and SAS applications

• Strong communication and influencing skills

• Domain knowledge of credit risk practices

Leverage your advanced analytics skills to drive impactful outcomes for CIBC's credit risk initiatives.
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