Quantitative Analyst for Model Validation

Canadian Imperial Bank of Commerce
Toronto, CA; US

Job Description

Enhance model soundness as a Senior Quantitative Analyst. Utilize advanced statistical techniques and programming to validate models, ensuring accuracy and compliance.

In this senior role, you'll critically assess model assumptions and theoretical frameworks. Your expertise in statistical modeling languages like Python, R, and Matlab will be essential for developing benchmarks and conducting extensive quantitative tests. Collaborate closely with teams to produce detailed validation reports outlining risk assessments and model limitations.

Key Responsibilities:

  • Review models for soundness and consistency
  • Develop independent benchmarks using programming tools
  • Conduct quantitative and qualitative model tests
  • Write reports on risk and model analysis
  • Collaborate in a team-oriented environment

Requirements:

  • Master's or Ph.D. in relevant fields
  • Experience in model validation or development
  • Proficiency in statistical modeling tools
  • Strong analytical skills with large data sets
  • Passion for continuous learning and teamwork

Leverage your quantitative expertise to refine model validation processes and deliver impactful insights in risk management.

Skills & Requirements

Technical Skills

PythonRMatlabAnalytical skillsTeamworkFinanceRisk management

Employment Type

FULL TIME

Level

senior

Posted

4/16/2026

Apply Now

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