Manager, Credit Risk Models - Financial Engineering & Modeling
- Employment type
- Full-time · On-site
- Posted
- October 10, 2026
- Province
- Ontario (ON)
Hiring confidence: Sparse posting · 33/100
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. Deloitte 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 Manager, Credit Risk Models - Financial Engineering & Modeling 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
- Bachelor's degree in Mathematics, Statistics, Engineering, Computer Science, Finance, or related field
- 5+ years of experience in credit risk modeling or financial engineering
- Proficiency with statistical programming languages (Python, R, SAS, or similar)
- Strong SQL and database management skills
- Knowledge of regulatory frameworks (Basel III, IFRS 9, etc.)
Fit check
Is this role right for you?
Top skills this posting asks for:
- Credit Risk Modeling
- Financial Engineering
- Risk Management
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What you'll do
- Develop and maintain credit risk models for various portfolio segments
- Conduct model validation and backtesting analysis
- Collaborate with business stakeholders to define model requirements
- Document model methodologies and assumptions
- Monitor model performance and identify improvements
- Support regulatory reporting and compliance initiatives
- Lead and mentor junior modeling team members
- Present findings and recommendations to senior management
- Stay current with industry best practices and regulatory changes
What you'll need
- Bachelor's degree in Mathematics, Statistics, Engineering, Computer Science, Finance, or related field
- 5+ years of experience in credit risk modeling or financial engineering
- Proficiency with statistical programming languages (Python, R, SAS, or similar)
- Strong SQL and database management skills
- Knowledge of regulatory frameworks (Basel III, IFRS 9, etc.)
- Experience with machine learning and advanced modeling techniques
- Excellent analytical and problem-solving abilities
- Strong communication and presentation skills