- Employment type
- Full-time · On-site
- Posted
- November 9, 2026
- NOC code
- 21222 — Information systems specialists
- Province
- Ontario (ON)
Hiring confidence: Sparse posting · 7/100
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. Intact Financial 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 Analyst, Actuarial 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
- Actuarial certification or equivalent experience
- Strong analytical and quantitative skills
- Experience in risk assessment and financial modeling
- Professional communication abilities
- Commitment to company values
Fit check
Is this role right for you?
Top skills this posting asks for:
- Actuarial analysis
- Risk assessment
- Statistical modeling
Jobily reads your resume against this posting and scores the fit — the skills you already have, the gaps, and what to change before applying. Signed-in Premium members see the score at the top of this page.
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What you'll do
- Conduct actuarial analysis and risk assessments
- Develop statistical models for business applications
- Provide analytical support to business and organizational decisions
- Contribute to team initiatives and cross-functional projects
- Support resilience and prosperity of people, businesses, and society
What you'll need
- Actuarial certification or equivalent experience
- Strong analytical and quantitative skills
- Experience in risk assessment and financial modeling
- Professional communication abilities
- Commitment to company values