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Wawanesa Insurance

Senior Actuarial Analyst - Pricing Modelling

Toronto, ON, Canada
AB, Canada
Winnipeg, MB, Canada
Wawanesa, MB, Canada
Moncton, NB, Canada
Ottawa, ON, Canada
Kitchener, ON, Canada
Montreal, QC, Canada
Vancouver, BC, Canada
Lloydminster, AB, Canada
Dartmouth, NS, Canada
Calgary, AB, Canada
Lethbridge, AB, Canada
Edmonton, AB (Hybrid), AB, Canada
North York - Toronto, ON (Hybr, ON, Canada

Working hours: 15 hours per week
Posting language: English
Posted: Sep 18, 2026

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Original job description

Job ID: 10215

Employment Type: Existing Role

Work Environment: We offer a hybrid work environment that offers flexibility to our employees in balancing in-office (2 days per week OR 15 hours per week in a Wawanesa office) and remote work. You may work from any of the following locations: Winnipeg, MB; Wawanesa, MB; Vancouver, BC; Calgary, AB; Edmonton, AB; Lethbridge, AB; Toronto (North York), ON; Kitchener, ON; Ottawa, ON; Montreal, QC; Quebec City, QC, Moncton, NB; Dartmouth; NS.

Working Business Language: English. This role is considered a head-office role and will be required to communicate with internal stakeholders across Canada where the primary business language utilized is English.

Salary: At Wawanesa, salary is only one component of a holistic, comprehensive and competitive offering that we provide to our employees. In addition to salary, full-time and part-time permanent employees are eligible for an annual bonus plan, leave of absence top-up programs and provided with generous vacation time, personal days, premium free benefits and pension plan.

The salary offered for this role is determined with consideration to various factors, including but not limited to: your work location, local labour market conditions, external market salary data, internal pay equity and the knowledge, skills, experience and anticipated proficiency in the role. The salary offered is estimated to be within the following range: $90,000 - $110,000. Candidates with salary expectations outside of the range are still encouraged to apply.

About The Wawanesa Mutual Insurance Company
Founded in 1896, The Wawanesa Mutual Insurance Company is one of Canada’s largest mutual insurers, 100% owned by its members, with more than $4.1 billion in annual revenue and $12.5 billion in assets. Headquartered in Winnipeg, Wawanesa is the parent company of Wawanesa Life, which provides life insurance solutions throughout Canada, and Western Financial Group, a leading national distributor of personal and business insurance. In March of 2026, Wawanesa entered into an agreement to acquire Everest Insurance Company of Canada to strengthen its commercial insurance capabilities and advance its long-term growth strategy.

Wawanesa proudly serves more than 1.8 million members and we are home to more than 3,000 employees across Canada. The company actively gives back to organizations that strengthen communities, donating more than $4 million annually to charitable organizations, including more than $2 million each year in support of people on the front lines of climate change. Learn more at wawanesa.com.

We are currently looking for dedicated, driven, and enthusiastic individuals who thrive in an environment that welcomes change and are looking for an opportunity for diverse experience and advancement on a growing team.

Job Overview

Working with a high degree of autonomy, the Actuarial Pricing Modelling provides contributions to the actuarial group based on knowledge from the actuarial exam system and prior relevant academic or work experience. They will mentor Actuarial Analyst colleagues while applying their knowledge to complex actuarial analysis in the pursuit of solving business issues and answering business questions.

Job Responsibilities

Researches, extracts, and manipulates complex data from relevant sources, and assesses data quality
Supports the business and overall team by performing analyses/reviews and completing ad-hoc requests/special projects in a timely manner with minimal support from peers and leaders
Evaluates procedures and processes, and recommend alternatives or improvements
Evaluates existing processes to find areas for increased efficiency
Identifies opportunities for automation of routine tasks
Develops new approaches to problem solving and assess impacts with minimal support from leaders.
Identifies emerging industry trends and analyzes the impact they will have on Wawanesa.
Encouraged to represent Wawanesa at external events that may include universities, actuarial clubs, industry organizations, and charitable causes
Commits to professional development and continuous experiential learning to build cross-functional knowledge, technical skills, and mastery in competencies
Focuses learning activities on bringing new knowledge and skills to team in order to address any existing gaps.
Provides regular project updates to stakeholders. Anticipates obstacles and raises them in advance.
Builds trust with teams around the actuarial function. Leads some projects from beginning to end, Include implementation of final product. May include training and documentation of the project.
Actively contributes to the mentorship, training and development of actuarial analysts
Reviews analysis of peers and provides thoughtful feedback on reasonableness, completeness and accuracy
Builds trust and credibility with peers.
Develops strong working relationships across teams.

Qualifications

Bachelor’s degree in Actuarial Science, Mathematics, Statistics, or other related discipline
More than two years of actuarial experience an asset
Working towards ACAS designation; 4 CAS exams an asset
Experience with machine learning modelling or other pricing modelling methods and software.
Ability to translate problem solving methods and ideas to various computer languages efficiently and effectively.
Ability to apply knowledge of actuarial science, mathematics, probability, statistics, principles of finance and business to problems in insurance.
Understanding of database systems and how to interpret/extract data from those systems.
Advanced written and verbal communication skills with ability to communicate at the right level of complexity for the audience.
Ability to develop timelines for projects and handling multiple concurrent assignments in a timely manner while proactively keeping leader informed of progress.
Works efficiently and cooperatively in a team environment and involve others when appropriate.
Ability to ask effective questions to elicit detailed and relevant information.

Diversity Equity, Inclusion & Belonging

At Wawanesa, we are committed to Diversity, Equity, Inclusion and Belonging (DEIB) and believe that our strength lies in the diversity of our people – this is supported by having a representative workforce.

We welcome applications from all qualified candidates, including racialized persons, women, Indigenous Peoples, persons with disabilities, members of the 2SLGBTQIA+ community, gender-diverse and neurodiverse individuals, and anyone who can contribute to the further diversification of thought and ideas.

We aim to ensure our recruitment process is accessible to all candidates. If you require accommodations during any stage of the recruitment process, please reach out in confidence to jobs@wawanesa.com.

All Wawanesa job applicants are subject to Wawanesa's Privacy Policy.

Please note that the recruitment process for this position may involve the use of AI tools to screen, assess, or select applicants. All final decisions are taken or reviewed by human recruiters and human hiring leaders in compliance with all applicable legislation.

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More about this job

Responsibilities

The role involves performing complex actuarial pricing analysis, extracting and assessing data quality, and identifying opportunities for process automation. The analyst will also mentor junior team members, manage projects from inception to implementation, and provide regular updates to internal stakeholders.

Requirements

Candidates must hold a bachelor's degree in Actuarial Science, Mathematics, Statistics, or a related field, with at least two years of relevant experience. Proficiency in pricing modelling methods, database systems, and progress toward an ACAS designation are highly preferred.

Skills

Actuarial science
Pricing modelling
Data extraction
Data manipulation
Machine learning
Statistical analysis
Database systems
Automation
Project management
Mentorship
Communication
Problem solving
Financial principles
Risk assessment
Stakeholder management

Benefits

Annual bonus plan
Leave of absence top-up programs
Generous vacation time
Personal days
Premium free benefits
Pension plan

Visa sponsorship

Not detected in the job text

Keywords

Actuarial Science
Pricing Modelling
Data Analysis
Machine Learning
ACAS
Insurance
Statistics
Mathematics
Database Systems
Automation
Financial Analysis
Risk Management
Stakeholder Engagement
Mentorship
Project Management
Data Quality
Actuarial Exams
Business Intelligence
Process Improvement
Cross-functional Collaboration

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