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Insurance Risk Engineer Jobs in Ontario (NOW HIRING)

Zurich Insurance Group

Data Engineer

Toronto, ON

Zurich Canada is currently looking for a Data Engineer to build, operate, and support data ... casualty insurance solutions and a wide range of risk management products and services for ...

Quadreal

Operations Supervisor

Toronto, ON

Participate in inspections related to insurance, risk management, and regulatory compliance ... Experience and Qualifications: * 3rd or 4th Class Power Engineer * Technical Certificate (C.Tech. ...

Awg

Experience of producing design risk assessments and applying risk management principles ... Private Health Insurance * 26 days holiday plus bank holidays (with flexibility for religious ...

LAPORTE L.E.I.

Machine Safety Engineer

Toronto, ON · Hybrid

Conduct risk analyses of equipment and machinery in various industrial environments; * Prepare ... Comprehensive group health insurance coverage from day one (medical, dental, vision, childcare)

Awg

Experience of producing design risk assessments and applying risk management principles ... Private Health Insurance * 26 days holiday plus bank holidays (with flexibility for religious ...

LAPORTE L.E.I.

Machine Safety Engineer

Toronto, ON · Hybrid

Conduct risk analyses of equipment and machinery in various industrial environments; * Prepare ... Comprehensive group health insurance coverage from day one (medical, dental, vision, childcare)

Chubb

AVP, Lead AI Engineer

Toronto, ON · On-site

You'll ship quickly with clear sponsorship, abundant compute, and a mandate to make insurance ... Represent LLM system architecture and risk trade-offs to engineering leaders, senior executives ...

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All JobsInsurance Risk Engineer JobsInsurance Risk Engineer Jobs in Ontario

Insurance Risk Engineer information

See Ontario salary details

$28.5K

$133K

$314.5K

How much do insurance risk engineer jobs pay per year?

As of Jun 10, 2026, the average yearly pay for insurance risk engineer in Ontario is $133,039.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,500.00 and $167,500.00 per year, depending on experience, location, and employer.

What does an Insurance Risk Engineer do?

An Insurance Risk Engineer assesses potential risks associated with a business or property to help insurers make informed underwriting decisions. They analyze safety protocols, operational procedures, and structural conditions to identify hazards and recommend risk mitigation strategies. Their goal is to minimize potential losses for both the insurer and the policyholder by implementing effective preventive measures. Risk engineers often conduct site inspections, review compliance with industry regulations, and provide detailed reports to underwriters. This role requires a strong understanding of engineering principles, risk assessment methodologies, and industry-specific safety standards.

What are the typical daily responsibilities of an Insurance Risk Engineer?

Insurance Risk Engineers commonly spend their days conducting on-site risk assessments of commercial and industrial properties, analyzing data to identify potential hazards, and preparing detailed risk evaluation reports for underwriters and clients. They often meet with property managers, safety officers, and other stakeholders to discuss best practices and recommend loss prevention measures. The role may involve occasional travel to client locations and close collaboration with underwriting and claims teams. This dynamic work environment enables continuous learning and opportunities to make tangible impacts on risk management outcomes.

What are the 4 types of risk insurance?

In the insurance industry, the four main types of risk insurance are property insurance, liability insurance, health insurance, and life insurance. Insurance risk engineers often evaluate these categories to assess potential exposures and develop risk mitigation strategies for clients across various sectors.

What are the key skills and qualifications needed to thrive in the Insurance Risk Engineer position, and why are they important?

To thrive as an Insurance Risk Engineer, you need a solid background in engineering or a related technical field, strong analytical abilities, and in-depth knowledge of risk assessment methodologies. Familiarity with risk modeling software, industry safety codes, and certifications such as CFPS (Certified Fire Protection Specialist) or ARM (Associate in Risk Management) is highly valued. Exceptional communication, problem-solving skills, and attention to detail are key soft skills for effectively interacting with clients and translating complex technical findings. These competencies ensure accurate risk evaluations, support underwriters, and help mitigate losses, ultimately protecting both insurers and their clients.

What are popular job titles related to Insurance Risk Engineer jobs in Ontario? For Insurance Risk Engineer jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Insurance Risk Engineer jobs in Ontario look for? The top searched job categories for Insurance Risk Engineer jobs in Ontario are:
Insurance Risk Engineer jobs near you
Infographic showing various Insurance Risk Engineer job openings in Ontario as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $133,039 per year, or $64 per hour.

Data Engineer - Spark, Databricks & Snowflake - DESDSAS

NavitasPartners

Toronto, ON

CA$30/hr

Full-time

Posted 5 days ago

Job description

Job Title: Data Engineer – Spark, Databricks & Snowflake

Position Overview:
We are seeking a Data Engineer with strong expertise in modern data platforms to build scalable data pipelines and cloud-based data solutions for banking, financial services, and insurance clients.

Key Responsibilities:

  • Design and develop enterprise-grade data pipelines using Spark and Databricks.
  • Build and optimize Snowflake data warehouse solutions.
  • Develop ETL/ELT frameworks for structured and unstructured data.
  • Implement data quality, governance, and security controls.
  • Integrate data from core banking, payments, lending, risk, and regulatory systems.
  • Optimize data processing performance and cloud costs.

Required Skills:

  • Apache Spark (PySpark/Scala)
  • Databricks
  • Snowflake
  • SQL, Python
  • Azure/AWS/GCP Data Services
  • Data Modeling
  • ETL/ELT Development
  • CI/CD and DevOps Practices
  • Data Lake Architecture

Required Qualifications:

  • Bachelor's degree in Computer Science, Engineering, or related field.
  • 5+ years of Data Engineering experience.
  • Experience implementing enterprise data platforms.

Mandatory Industry Experience:

  • Must have prior BFSI experience supporting banking, insurance, capital markets, lending, payments, wealth management, or risk management functions.


For more details reach at resumes@navitassols.com