Senior Manager, Counterparty Credit Risk Analytics
- Employment type
- Full-time · On-site
- Posted
- October 20, 2026
- Province
- Ontario (ON)
Hiring confidence: Sparse posting · 22/100
This posting is missing most of the signals we look for, or shows patterns common to listings that are not actively being filled. Check with the employer before applying. How this is scored
Job Overview
This role is based in Ontario. BMO is hiring for this full-time position through Jobily, where you can check how well your resume matches the posting before you apply.
Market context
About this role in Ontario
Average salary for Senior Manager, Counterparty Credit Risk Analytics in Ontario
We do not have a salary benchmark for this title in Ontario yet. The posting does not state a salary either.
NOC code
This posting has not been matched to a NOC 2021 unit group yet. Use the NOC finder to identify the code from the duties listed above.
Typical qualifications for Canadian employers
- Experience in counterparty credit risk measurement and analytics
- Leadership experience managing analytics teams
- Knowledge of exposure methodologies (PFE, Settlement, stress)
- Understanding of model usage and governance
- Experience providing insights to trading desks and risk oversight
Fit check
Is this role right for you?
Top skills this posting asks for:
- Counterparty credit risk
- Risk analytics
- Data analytics
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What you'll do
- Lead a team in design and implementation of counterparty credit risk measurement systems
- Oversee counterparty credit risk analytics and measurement
- Develop and maintain robust exposure methodologies (PFE, Settlement, stress)
- Ensure model usage integrity and governance
- Provide actionable insights to trading desks, risk oversight, and senior management
- Deliver analytics and reporting on counterparty credit risk
What you'll need
- Experience in counterparty credit risk measurement and analytics
- Leadership experience managing analytics teams
- Knowledge of exposure methodologies (PFE, Settlement, stress)
- Understanding of model usage and governance
- Experience providing insights to trading desks and risk oversight
- Data analytics and reporting expertise