Intermediate Actuarial Analyst

InsuranceWorks.ca; Cambridge; On-site; CAD 70,000 - 85,000; Full time

Job summary

A leading insurer in Canada is looking for an Intermediate Actuarial Analyst to support the development of pricing, reserving, and predictive models. The ideal candidate will have an undergraduate degree in Actuarial Science or related fields, with 2-4 years of relevant experience in actuarial work or data science. This role requires strong analytical and communication skills to interact effectively with stakeholders.

Qualifications

• Completion of CAS preliminary exams (1 – 4, including VEEs and all modules).
• 2-4 years of experience at another P&C insurance company or life insurance company.
• 2-4 years of experience in a Data Science role.

Responsibilities

• Understand and clean data with minimal assistance.
• Build statistical models for various problems.
• Assist with implementation tasks such as Excel rater creation.

Skills

Analytical Skills

Communication Skills

Education

Undergraduate degree in Actuarial Science, Mathematics or Statistics

Job description

Overview

Next Horizon is here. Fueled by investments in talent and technology, our bold strategy to transform is nearly complete.

At Gore Mutual, we’ve always set ourselves apart as a modern mutual that does good. Now, we’re proudly building on that legacy to transform our company—and our industry—for the better.

Our path forward sharpens our focus on business performance, driven by leading technology, innovation and an agile, high-performing culture. With Gore Mutual and Beneva announcing their intent to merge in 2026, we’ll be uniting two well-established, financially strong, and trusted brands to become the strongest mutual insurer in Canada, ensuring Canadians have purpose-driven insurance options for generations to come. Come join us.

Are you driven by data, inspired by innovation, and eager to shape the future of insurance?

Join a fast-growing Canadian P&C insurer where you\'ll play a pivotal role in advancing our end-to-end pricing function. We\'re building on a solid foundation—powered by cutting-edge technology, a robust enterprise data analytics team, and bold investments in AI. With this groundwork in place our talented team is now focused on scaling and refining our capabilities.

We\'re looking for bright, analytical minds to help bring our strategy to life. If you\'re passionate about solving complex problems and have bold ideas to push the boundaries of actuarial science, we want to hear from you.

Intermediate Actuarial Analyst

Support the development and implementation of pricing, reserving, and predictive models that drive business decisions. Collaborate with junior and senior analysts, reporting to the Actuarial Manager, and contribute to impactful actuarial projects across the team.

Responsibilities

Data Literacy

• The Intermediate Actuarial Analyst is responsible for understanding what the data means and possesses the ability to “clean” it as required with minimal assistance.
• The Intermediate Actuarial Analyst is responsible for building statistical models for some problems and is beginning to understand the “bigger picture”. The Intermediate Actuarial Analyst will work with others to learn and improve on their model.

Implementation Support

• The Intermediate Actuarial Analyst will assist with implementation requirements such as Excel rater creation or maintenance, renewal lists, impact studies, etc., as required without technical assistance but with some direction.

Personal Development

• The Intermediate Actuarial Analyst will make serious attempts at progressing through the CAS exams. The Intermediate Actuarial Analyst will also perform other, project-specific required research.

Qualifications

• Undergraduate degree in Actuarial Science, Mathematics or Statistics. Completion of CAS preliminary exams (1 – 4, including VEEs and all modules)
• 2-4 years of experience at another P&C insurance company or at a life insurance company
• 2-4 years of experience in a Data Science role
• Analytical Skills: Strong ability to analyze data
• Communication Skills: Excellent verbal and written communication skills for effective interaction with internal and external stakeholders