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Senior Consultant in Quantitative Risk

Job in Toronto, Ontario, C6A, Canada
Listing for: Canadian Imperial Bank of Commerce
Full Time position
Listed on 2026-06-22
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer
  • Finance & Banking
    Data Scientist
Job Description & How to Apply Below
Shape the future of credit risk modeling at CIBC as a Senior Consultant in Toronto. Focus on statistical modeling and AI solutions that enhance retail lending strategies.

In this full-time role within the Client Credit Risk Analytics group, you will lead the development of machine learning models and drive optimization strategies. Your expertise will impact key performance metrics and support robust governance standards to ensure compliance with CIBC's policies. Collaborative efforts with risk partners are essential to optimize balanced risk strategies.

Key Responsibilities:

• Develop and optimize statistical and machine learning models

• Lead end-to-end workflows in Databricks

• Design strategies using FICO Decision Optimizer and Python

• Present model results to technical and non-technical teams

• Write model validation documentation and monitor performance

Requirements:

• Master’s or PhD in a quantitative field

• Over 3 years of experience in data analytics

• Proficiency in Python and Databricks

• Strong background in retail credit risk management

• Expertise in agentic AI and machine learning

Drive innovative modeling strategies at CIBC, enhancing risk management with your analytical expertise.
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Position Requirements
10+ Years work experience
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