Director of CCR Methodology & Risk Modeling

Canadian Imperial Bank of Commerce

Toronto

On-site

CAD 180,000 - 250,000

Full time

2 days ago
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Benefits offered by this job

Competitive salary
Incentive pay
Banking benefits
Pension plan
Employee share purchase plan
Vacation offering
Wellbeing support
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Job summary

Canadian Imperial Bank of Commerce (CIBC) is seeking a Director of Counterparty Credit Risk Methodology in Toronto. You will lead methodology design, governance, and analytics for counterparty risk, partnering with Front Office, Risk, Technology, Finance, and Audit to strengthen risk measurement and regulatory alignment.

You will guide cross-functional teams, translate complex quantitative concepts for senior audiences, and mentor teams in model development and testing.

Qualifications

  • Advanced degree in a quantitative field (Master's or PhD).
  • 5+ years in quantitative risk modeling or a related function, preferably in Capital Markets Risk.
  • Strong programming skills; Python required, C# a strong asset.

Responsibilities

  • Lead design, development, and implementation of counterparty credit risk methodologies.
  • Governance of model lifecycle, validation, and performance monitoring.
  • Collaborate with Front Office, Risk, Technology, Finance and Audit to align risk measurement with business objectives.
  • Communicate complex quantitative concepts clearly to senior leadership and governance forums.
  • Support model development, prototyping, testing, and tooling improvements.

Skills

Python
Quantitative risk modeling
C#
Model governance

Education

Master's or PhD in quantitative field

Tools

C#

Job description

Canadian Imperial Bank of Commerce (CIBC) is seeking a Director of Counterparty Credit Risk Methodology in Toronto. You will lead methodology design, governance, and analytics for counterparty risk, partnering with Front Office, Risk, Technology, Finance, and Audit to strengthen risk measurement and regulatory alignment.

You will guide cross-functional teams, translate complex quantitative concepts for senior audiences, and mentor teams in model development and testing.

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