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Added 15 mins ago
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Come and meet a manager for an on-site interview.
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Come and meet a manager for an on-site interview.
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…scheduling as the APR plans own schedule which is approved by…
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Medical Office Assistant (MOA) - Urgent & Primary Care Centre (UPCC)
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Vancouver, BC
- $27.84 to $29.72 CAD / hour
- Part-time
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UH
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Added 45 mins ago
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All applications must be submitted before the posting close date.

Actuarial Analyst

Toronto, ON, Canada
Montreal, QC, Canada
Quebec, QC, Canada

85 000 $/$85,000 - 110 000 $/$110,000 CAD · Full-time

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Job details

Pay: 85 000 $/$85,000 - 110 000 $/$110,000 CAD
Job type: Full-time
Apply by: Dec 28, 2026
Experience: At least 2 years of actuarial experience in Property & Casualty insurance
Posting language: English
Posted: Oct 7, 2026

Original job description

Work Location:

Montréal, Quebec, Canada

Hours:

Line of Business:

Data & Analytics

Pay Details:

85 000 $/$85,000 - 110 000 $/$110,000 CAD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

Responsibilities:

Develop and maintain sophisticated actuarial predictive models using advanced statistical techniques and machine learning algorithms
Collaborate with Pricing teams to understand business requirements and present findings to stakeholders
Support model governance efforts and ensure compliance with internal and external requirements
Write clean, efficient, and maintainable code following industry best practices and coding standards.
Monitor model performance and implement improvements based on emerging techniques and business needs
Manage multiple modeling projects while meeting deadlines and maintaining detailed technical documentation

Job Requirements

At least 2 years of actuarial experience in Property & Casualty insurance
Bachelor degree in Actuarial Sciences or related field
Proficiency and interest for programming, preferably python
Base understanding of modern machine learning techniques and their practical applications in insurance contexts
Advanced analytical, decision-making and problem solving skills
Client-focused and aptitude for teamwork
Outstanding communication skills with ability to articulate complex technical concepts to varied audiences, from technical teams to senior leadership
Excellent time management skills with a proven ability to meet deadlines.
Autonomous and perseverant; shows initiative and creativity in their work
Recognized for their thoroughness and the quality of their work

Preferred Qualifications

Marked progress on professionnal actuarial exams (CAS or CIA)
P&C pricing experience
Experience with cloud computing platforms (AWS, Azure, or GCP)
Knowledge of modern data architecture and big data technologies (Databricks, Snowflake, Spark, etc.)

Who We Are:

As part of TD Bank Group, one of Canada's largest financial institutions, at TD Insurance, we care for Canadian families, making it easy to get the best advice, protection, and support in their moments of need, always.

TD Insurance offers a wide range of products, including General Insurance and Life and Health. Everyday, we strive to make every interaction, product and experience remarkably human and refreshingly simple for more than four million customers who count on us.

Our Total Rewards Package
Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more

Additional Information:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

Colleague Development

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities.

If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding
We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process
We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation
Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec only):

Maîtrise d’une langue autre que le français pour offrir du soutien ou traiter avec des employés qui ont besoin de services et de soutien dans une langue autre que le français.

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More about this job

Responsibilities

Develop, maintain, and monitor actuarial predictive models using statistical methods and machine learning, collaborating with Pricing teams and presenting findings to stakeholders. Support model governance and compliance, write maintainable code, document technical work, and manage multiple projects and model improvements.

Requirements

Requires at least two years of actuarial experience in Property and Casualty insurance, a bachelor's degree in actuarial science or a related field, programming proficiency or interest - preferably in Python - and a foundational understanding of machine learning. Candidates should also demonstrate strong analytical, communication, teamwork, time-management, and problem-solving abilities; actuarial exam progress, P&C pricing, cloud platforms, and modern data technologies are preferred.

Skills

Actuarial Modeling
Predictive Modeling
Statistical Techniques
Machine Learning
Python
Property and Casualty Insurance
Pricing
Model Governance
Regulatory Compliance
Analytical Problem-Solving
Communication
Teamwork
Project Management
Technical Documentation
Cloud Computing
Big Data Technologies

Benefits

Health and Well-Being Benefits
Savings and Retirement Programs
Paid Time Off
Banking Benefits and Discounts
Career Development
Rewards and Recognition Programs

Visa sponsorship

Not detected in the job text

Keywords

Actuarial Science
Property and Casualty Insurance
Predictive Models
Statistical Techniques
Machine Learning
Python
Pricing
Model Governance
Compliance
Model Performance
Technical Documentation
CAS Exams
CIA Exams
Cloud Computing
AWS
Azure
Google Cloud Platform
Data Architecture
Big Data
Databricks
Snowflake
Spark
Stakeholder Communication
Project Management

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