- Employment type
- Full-time · On-site
- Posted
- September 26, 2026
- NOC code
- 21222 — Information systems specialists
- 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. The Canadian NOC code for this position is 21222 — Information systems specialists. EQ Bank 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 Analyst, Credit Risk Scoring 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
21222 — Information systems specialists. The National Occupational Classification code is what Express Entry, provincial nominee programs and Job Bank use to identify this occupation.
Typical qualifications for Canadian employers
- 3-5 years of credit risk or related analytical experience
- Strong understanding of credit risk principles
- Proficiency in statistical analysis and modeling
- Experience with data analysis tools and programming languages
- Knowledge of scoring models and their development
Fit check
Is this role right for you?
Top skills this posting asks for:
- Credit risk analysis
- Statistical modeling
- Data analysis
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What you'll do
- Develop and validate credit risk scoring models
- Analyze credit portfolios and risk metrics
- Create and maintain risk scoring documentation
- Generate risk analysis reports and insights
- Monitor model performance and accuracy
- Collaborate with cross-functional teams on risk initiatives
- Support regulatory compliance and reporting requirements
What you'll need
- 3-5 years of credit risk or related analytical experience
- Strong understanding of credit risk principles
- Proficiency in statistical analysis and modeling
- Experience with data analysis tools and programming languages
- Knowledge of scoring models and their development
- Bachelor's degree in finance, mathematics, statistics, or related field