Director, Quantitative Risk Modelling (risk Analytics & Credit Decisioning)

CIBC

Toronto, ON, Canada
Competitive salary; incentive pyy included; define...
Fully remote
Advanced degree in statistics or mathematics
Expertise in machine learning and ai for risk
Strong skills in python, r, or sas programming
This role leads the planning and execution of optimization models across diverse credit portfolios including Credit Cards and Unsecured Lending

Job Summary

  • This role leads the planning and execution of optimization models across diverse credit portfolios including Credit Cards and Unsecured Lending.
  • The successful candidate will drive innovation by deploying advanced machine learning and artificial intelligence solutions to enhance credit risk strategies.
  • CIBC offers a competitive salary, incentive pay, banking benefits, and a defined benefit pension plan alongside opportunities for professional growth.

Matching Summary

This role leads the planning and execution of optimization models across diverse credit portfolios including Credit Cards and Unsecured Lending.

Salary

Competitive salary; Incentive pay included; Defined benefit pension plan and employee share purchase plan

Skills & Requirements

Must-have

  • Advanced degree in statistics or mathematics
  • Expertise in machine learning and AI for risk
  • Strong skills in Python, R, or SAS programming
  • Deep knowledge of credit products and risk models
  • Experience with model lifecycle governance

Nice-to-have

  • Ability to translate complex concepts for stakeholders
  • Commitment to trust, teamwork, and accountability values
  • Experience in cross-functional collaboration environments

Key Requirements

  • M.Sc. or Ph.D. in quantitative field
  • Progressive experience in retail risk management
  • Legal eligibility to work in specified location

Work Rights

Must be legally eligible to work at the location(s) specified

Tailored Resume

Cover Letter