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Added 2 months ago
Senior ML Data Processing Developer
LawZero
Montreal, QC
We are seeking a Senior ML Data Processing Developer to participate in the development, curation, and scaling of our core data asset pipeline. Sitting at the intersection of data…
Added 4 months ago
M
Solution Consultant
Morningstar
Toronto, Ontario
- Full-time
Basic programming or data analysis skills (e.g., Python, R).
Added 4 months ago
TB
Character Rigging & Tools Artist
Torn Banner
Ontario
- Full-time
Advanced scripting skills in Python and MEL for developing, maintaining, and improving animation and rigging tools in both Maya and Motionbuilder.
Added 2 months ago
Actuarial Associate, Life & Health (2027 Permanent - Toronto)
Munich Re
Toronto, ON
Programming skills (such as, but not limited to: Python, R, Java, VBA, etc).
Added 4 months ago
P+
Contract Network Communications Software Developer
Pivot + Edge
Gatineau, Quebec
- Contract
…team as a 6-month contract Network Communications Software Developer. As part of our team, you will design, develop and maintain products used in Air Traffic Management communication…
Added 4 months ago
Machine Learning Engineer III, Data
ACV
Toronto, Ontario
Advanced proficiency with Computer Vision frameworks (e.g., PyTorch, OpenCV, TensorFlow) and Python/SQL.
Added 4 months ago
Machine Learning Engineer IV, Data
ACV
Toronto, Ontario
Advanced proficiency with Computer Vision frameworks (e.g., PyTorch, OpenCV, TensorFlow) and Python/SQL.
Added 2 months ago
OT
Sr. Systems Administrator
Open Text Corporation
Richmond Hill, ON · Waterloo, ON
- Other
Drive automation using Python, Bash, Terraform, and Ansible for monitoring provisioning, configuration, and remediation.
Added 4 months ago
MC
After School Program Assistant
Macaulay Child Development
Toronto, Ontario
- Up to $22.62 CAD / hour
- Part-time
Computer coding and experience with Scratch and Python is an asset.
Added 4 months ago
AI Platform Engineer - DevOps
Staffinity Inc
Halifax, Nova Scotia
This is a hybrid position, up to 3 days per week in office
Added 5 months ago
KC
Forward Deployed AI Engineer
Keyrus Canada
Toronto, ON · Montreal, QC
- Full-time
📍 Location: Hybrid – Toronto or Montreal, Canada (2 days per week at the office)
Added 4 months ago
AP
Developer, Business Intelligence
Atlantic Packaging Products Ltd.
Toronto, Ontario
- Full-time
Location: Scarborough, Ontario (hybrid 3 days in office)
Added 4 months ago
P+
Senior Network Communications Software Developer
Pivot + Edge
Gatineau, Quebec
- Full-time
…well-established team as a Senior Network Communications Software Developer. As part of our team, you will design, develop and maintain products used in Air Traffic Management communication…
Added 2 months ago
Simulation (Houdini) - Technical Engineer
Sony Pictures Imageworks
Vancouver, BC
Strong proficiency in Python and VEX for writing efficient, custom nodes, and tool wrappers.
Added 3 months ago
Développeur(euse) logiciel - Simulation (Houdini) / Simulation (Houdini) - Senior Technical Developer
Sony Pictures Imageworks
Montreal, Quebec
Maîtrise approfondie de Python et VEX pour l'écriture de nœuds personnalisés et efficaces, et de boîte à outils.
Added 4 months ago
HB
Senior DevOps Engineer
Haventree Bank
Toronto, ON
- Full-time
…management, and system monitoring using tools like Terraform and Bash/Python…
Added 2 months ago
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ML Solutions Architect - Architecte de solutions ML
NBCUniversal
Montreal, QC
- Full-time
Added 2 months ago
F
Software Engineer: Full-Stack
Fiscal.ai
Remote, Canada
- Full-time
- Remote
Added 2 months ago
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ML Solutions Architect - Architecte de solutions ML
NBCUniversal
Montreal, QC
- Full-time
Added 2 months ago
Development & Operations Analyst
CAA Club Group
Markham, Ontario · Thornhill, ON
Good knowledge in scripting languages with Shell and Python
Added 2 months ago
Senior Software Enginner- Global Payments Engineering
Scotiabank
Toronto, ON · Scarborough, ON
Familiar with languages, frameworks, and databases (such as Java/Spring, Node.js/Express.js, Python, MySQL, PostgreSQL, MongoDB, DB2)
Added 4 months ago
U
Security Specialist – Digital Fraud
Ubisoft
Montreal, Quebec
- Full-time
Strong working knowledge of SQL and Python for data analysis, automation, and investigations
Added 4 months ago
G
Développeur(se) d'automatisation et d'infrastructure - Infrastructure & Automation Developer
Gameloft
Montreal, Quebec
- Full-time
We are looking for a talented FinOps Developer to join our team. This role focuses on automating the retrieval, validation, and reporting of infrastructure, software, database, and…
Added 2 months ago
Actuarial Associate with ASA, Biometric Research
Munich Re
Toronto, ON
Knowledge of SQL, R, and/or Python is an asset
Added 4 months ago
M
Senior Systems MTS, Synthetic Aperture Radar (SAR) Missions
MDA
Richmond, British Columbia
- Full-time
Ability and knowledge to work with MATLAB, Python;

Munich Re

Actuarial Associate with ASA, Biometric Research

Toronto, ON, Canada

Apply on careerstore.munichre.com About employer

Applications open in a new tab.

Job details

Experience: 2+ years actuarial experience, preferably the Individual Life and Health insurance/reinsurance industry
Posting language: English
Posted: Aug 26, 2026

Original job description

Position Overview

You are an actuarial candidate that is passionate about experience studies and making data driven assumptions about what will happen in the future. As an Actuarial Associate in the Biometric Research department, you will perform experience studies, develop assumptions, and work on research projects across multiple lines of business in both Canada and the United States. You will report to the Director, Biometric Research and work alongside actuaries within the team as well as those in other departments in order to develop your skills and deliver high quality results. You can expect to learn skills in data analysis & transformation, experience analysis, and assumption construction while working with some of the largest and richest datasets in the North American insurance industry.

Your Role:

Contribute to the build, analysis, and presentation of mortality/morbidity/lapse experience studies for individual life, living benefits, and group insurance products
Assist in the development of new business assumptions focused on mortality/morbidity/lapse bases in both Canada and the United States
Support the Pricing teams by providing and reviewing client focused experience studies for new business quotes and inforce transactions
Participate in North American and global Biometric Research special projects and initiatives
Collaborate extensively with other departments including Pricing, Corporate Actuarial, Reinsurance Operations, Risk Management, and Integrated Analytics on studies, assumptions, and research
Continually review and improve the experience analysis and assumption development processes
Provide technical peer reviews for other team members

Your Profile:

University Degree in Actuarial Science, Finance, Statistics, and/or Mathematics
Completed ASA and progression towards FSA
2+ years actuarial experience, preferably the Individual Life and Health insurance/reinsurance industry
Strong technical proficiency and data analysis capabilities
Proven ability to build and maintain effective working relationships with clients and/or colleagues
Excellent communication skills demonstrated through clear verbal interactions and well-structured written documents
Superior attention to detail and accuracy
Strong problem solving and organizational skills
Ability to work effectively under tight deadlines
Adaptability in fast-paced and dynamic environments
Proficiency in Excel and experience with other Microsoft Office applications
Knowledge of SQL, R, and/or Python is an asset

About Munich Re

Together, we engage with everything we have and are, to help humankind act braver and better.

As the world’s leading reinsurance company with more than 40,000 employees in over 50 locations around the globe, Munich Re introduces a paradigm shift in the way you think about insurance. By turning uncertainty into manageable risk, we enable fundamental change. We recognize Diversity, Inclusion, and Belonging as a key priority with a culture that welcomes different thoughts and opinions. We dare to think big and are continuously innovating on behalf of our clients.

Our data, our technology, and our teams place us in a unique position to drive transformative change in the life insurance industry. We invest strategically in our world class talent, offering our employees a work experience that promotes professional development, innovation, and rewards high performance.

What Can We Offer You?

We are pleased to offer our employees great benefits and resources to support their mental, physical and financial wellbeing. These include:

An engaging and collaborative environment that promotes continuous learning and development
A hybrid work environment that combines weekly in-office and remote days with Meeting-Free lunch hours and Focus Friday afternoons
A great compensation package including annual company bonus
Market leading company-paid flexible health and dental benefits, starting on your first day
Flexible dollars provided by the company to put towards Health Spending Account and/or Wellness Spending Account
Immediate participation in DC Pension Plan with an automatic 5% employer contribution, plus optional company match
Generous time off including vacation, personal days, unplanned time, Statutory Holidays and company-wide early closure half-days
Learning and development programs and resources, including unlimited access to LinkedIn Learning, Education Assistance Program and reimbursement for professional fees
Maternity, Parental & Adoption Leave top-up program
Employee Referral Program, Recognition & Rewards Platform

Our base salary range for this role is between $85,785 and $114,345 per year, plus an opportunity for an annual company bonus based upon a percentage of eligible pay. The salary estimate displayed represents the typical salary range for candidates hired in this position. Factors that may be used to determine your actual salary include your specific skills, how many years of experience you have and comparison to internal equity.

This role is located in our Toronto office on 390 Bay St, and we operate in a hybrid work model. This job posting is for an existing vacancy.

We do not use AI in our recruitment process - applications are reviewed by our team to ensure a fair and personalized experience.

Please note that only candidates who are selected for interview will be contacted directly. We thank all candidates for their interest.

Munich Re is committed to providing a work environment that is inclusive and free of employment barriers and discrimination. Accommodations will be made for qualified applicants with a disability throughout the recruitment process. If you receive a request for an interview and you have a disability which will require an accommodation to support your participation, please contact AODARequestHR@munichre.ca as soon as practical so that suitable accommodations can be arranged.

Apply on careerstore.munichre.com About employer

More about this job

Responsibilities

Perform experience studies and develop biometric assumptions for individual life, living benefits, and group insurance products across North America. Collaborate with Pricing, Risk Management, and Analytics teams to provide technical reviews and support new business quotes.

Requirements

Requires a university degree in a quantitative field, ASA designation, and at least 2 years of actuarial experience in life and health insurance. Proficiency in Excel is required, with knowledge of SQL, R, or Python considered an asset.

Skills

Experience Studies
Data Analysis
Assumption Construction
Mortality Analysis
Morbidity Analysis
Lapse Analysis
Excel
SQL
R
Python
Communication
Problem Solving
Organizational Skills
Peer Review
Technical Proficiency
Relationship Management

Benefits

Annual Company Bonus
Flexible Health and Dental Benefits
Health Spending Account
Wellness Spending Account
DC Pension Plan with Employer Contribution
Vacation
Personal Days
Statutory Holidays
Company-wide Early Closure Half-days
LinkedIn Learning
Education Assistance Program
Professional Fees Reimbursement
Maternity, Parental & Adoption Leave Top-up Program
Employee Referral Program
Recognition & Rewards Platform

Visa sponsorship

Not detected in the job text

Keywords

Actuarial Science
ASA
FSA
Biometric Research
Experience Studies
Mortality
Morbidity
Lapse
Life Insurance
Reinsurance
SQL
R
Python
Excel
Data Transformation
Assumption Development
Individual Life
Group Insurance
Living Benefits
Risk Management
Integrated Analytics
Corporate Actuarial
Pricing

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