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Added 21 mins ago
ZS
Enterprise Data Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Strong hands-on expertise in Hadoop, HDFS, YARN, Hive, Spark, PySpark, Kafka, SQL, Python, Java, and Scala.
Added 21 mins ago
TI
Data Scientist
TekStaff IT Solutions
Toronto, ON
- Contract
Who are they interacting with (internal/external) – Internal to client
Added 21 mins ago
KG
QE / SDET – AI Chatbot & GenAI Validation
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
Automation Tooling: Hands-on automation scripting experience using Python combined with PyTest, Playwright, Selenium, or Postman (for API testing).
Added 21 mins ago
C
Virtual Infrastructure Specialist
CGI
Mississauga, ON
- Full-time
…solutions. We are seeking a motivated System Administrator with expertise in Virtualization domain to join our infrastructure team. In this role, you will learn and support our transition…
Added 21 mins ago
LA
Lead Solution Architect
Legislative Assembly of Ontario / Assemblée législative de l’Ontario
Toronto, ON
- Full-time
Familiarity with current development tools and technologies including Microsoft Power Platform, SharePoint, Azure, PHP, React, Python, and web content management systems.
Added 21 mins ago
I
Senior Software Developer
IBM
Ottawa, ON
- $121,550 to $171,550 CAD / year
- Full-time
A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. Youâ€™ll work with leading companies across industries, helping them shape their…
Added 21 mins ago
N
Software Engineer - Platform Services
Nokia
Ottawa, ON · Kanata, ON
- Full-time
Proficiency in programming languages such as Go is a must; with a strong understanding of software design principles. Scripting experience in Python or Bash
Added 23 mins ago
Platform Engineer
Scotiabank
Toronto, ON
…platform(s) as per banks Data & AI strategy. This consists of working with cross functional teams like IAM, Network, Cloud Ops, Security, Client partners etc for integration, process…
Added 23 mins ago
Senior Platform Engineer
Scotiabank
Toronto, ON
5+ years with development/scripting languages (Python, Go optional; plus Bash/PowerShell) for automation and platform tooling.
Added 23 mins ago
GM
Senior Software Developer
General Motors
Markham, ON · Oshawa, ON
- Full-time
General Motors is seeking a Senior Software Developer to build and evolve the software platforms that support production mapping, Data Over the Air (DOTA) Back Office capabilities, and…
Added 23 mins ago
GM
Senior Data Engineering, Vehicle Data Operations
General Motors
Markham, ON · Oshawa, ON
- Full-time
This role partners with vehicle data engineering, software application teams, program management, systems engineering, and quality engineering to turn operational needs into reliable…
Added 23 mins ago
Staff Photonics Design & PDK Modeling Engineer
Lightmatter
Toronto, ON
Experienced in Python for modeling, automation, and data analysis. Comfortable with object-oriented programming and scientific libraries (NumPy, SciPy).
Added 38 mins ago
RB
Staff Cloud Security Engineer (Global Security)
Royal Bank of Canada
Vancouver, BC · Toronto, ON
- Full-time
…RBC's Cloud Security posture. You will also contribute to the developer experience and foster a culture that encourages best security…
Added 38 mins ago
TH
AI Engineer | Full time | AI Innovations
Trillium Health Partners
ON · ON, Canada
- Full-time
…Mississauga Hospital and the Queensway Health Centre, along with several satellite locations, THP serves the growing and diverse populations of Mississauga, West Toronto and surrounding…
Added 52 mins ago
A
Embedded Software Engineer
Actalent
Mississauga, ON
- $70,000 to $85,000 CAD / year
- Full-time
This role is based on-site five days per week in an office environment with cubicles, working closely with a multidisciplinary team of approximately 12 people, including software developers…
Added 52 mins ago
ZS
Quality Engineer / SDET – AI Chatbot Validation
Zodiac Solutions, Inc
Toronto, ON
- Full-time
…automation for chatbot validation where possible.• Work closely with developers, AI engineers, and content teams to resolve defects.• Track, document, and report defects, test results, and…
Added 52 mins ago
A
Test/Lab Engineer
Actalent
Waterloo, ON
- $33 to $38 CAD / hour
- Contract
Professional experience with Python development.
Added 52 mins ago
A
SDET (Intermediate)
Actalent
Waterloo, ON
- $40 to $50 CAD / hour
- Contract
At least 3 years of hands-on, real-time experience with Python development.
Added 52 mins ago
JW
Software Engineer, Tokenization
Jobs Web3
Toronto, ON
- Full-time
Expertise in backend development using languages such as Go, Python, or Java, with a solid grasp of cloud-native architectures
Added 52 mins ago
JW
Senior Software Engineer, Web3 Backend
Jobs Web3
Toronto, ON
- Full-time
Proficiency in Go or Python, with exceptional technical grasp with problem-solving and production debugging skills.
Added 52 mins ago
F
Excel Ninja | AI & Machine Learning Expert
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Oakville, ON
- Full-time
Are you an Excel expert who thinks in Python and dreams in AI?
Added 52 mins ago
CF
Data Architect & Analytics Team Lead
Canadian Football League
Toronto, ON
- Full-time
Work with modern cloud and data technologies, including Snowflake, dbt, Python, SQL Server, Power BI, cloud data services, and ETL/ELT platforms.
Added 52 mins ago
CG
Martech/ Growth Engineer
Credit Genie
Toronto, ON
- $180,000 to $230,000 USD / year
- Full-time
…funnel in SQL, implementing an API integration, and sitting with a marketer to figure out how to improve campaign…
Added 52 mins ago
L
Staff Photonics Design & PDK Modeling Engineer
Lightmatter
Toronto, ON
- Full-time
Experienced in Python for modeling, automation, and data analysis. Comfortable with object-oriented programming and scientific libraries (NumPy, SciPy).
Added 52 mins ago
R
Principal Bioinformatics Scientist I
Roche
Mississauga, ON · Canada Pharma Campus
- Full-time
You will have the opportunity to collaborate closely with cross-functional partners across Wet-Lab Assay Development, Software Engineering, CLIA Operations, and Quality to design, validate,…

Marsh McLennan

Analyst - Property & Casualty Insurance Practice

Toronto, ON, Canada

Base salary range (U.S.): $65,000 – $110,000 CAD, depending on location, exams, and experience. · Full-time

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Job details

Pay: Base salary range (U.S.): $65,000 – $110,000 CAD, depending on location, exams, and experience.
Job type: Full-time
Posting language: English
Posted: Oct 1, 2026

Original job description

Company:

Oliver Wyman

Description:

Company Overview    

The Property and Casualty Consulting Practice assists (re)insurance companies, self-insured corporations, government entities, and other organizations with all aspects of managing property and casualty insurance exposures. We guide P&C clients on their qualitative assessment and quantification of risk and loss exposures, and offer advice on a range of issues, from external business strategy and internal risk management to economic capital modeling and new product development.

Position Summary

As an analyst in our P&C Actuarial Insurance Practice, you will engage in transformative client projects, leveraging your technical expertise and strategic insights to develop, validate, and operationalize actuarial models, methodologies, and workflows. As part of a globally connected practice, you will collaborate with colleagues and clients across geographies, with opportunities to contribute to and deliver projects on a global basis. This role offers the chance to work with multidisciplinary teams and cutting-edge technologies, including AI, to deliver impactful solutions across a wide range of actuarial disciplines, including pricing, reserving, and capital modeling.

Responsibilities

· Deliver Transformative Actuarial Solutions: Support client engagements by applying actuarial knowledge, analytical skills, and structured problem-solving to complex insurance challenges. Contribute to initiatives such as actuarial modernization, process automation, AI-enabled actuarial workflows, model transformation, data modernization, and operating model improvement.

· Analyze and Interpret Complex Data: Conduct detailed analyses across large and complex datasets, identifying trends, validating results, and developing insights that support actuarial, operational, and strategic decision-making.

· Execute Actuarial Analyses: Apply established actuarial methodologies, assumptions, and models to produce accurate, well-supported analyses. Develop technical expertise while exercising judgment in identifying issues, investigating results, and recommending potential solutions.

· Support Client Engagement: Work directly with client and internal stakeholders to gather requirements, understand business challenges, and communicate analytical findings clearly. Help translate complex actuarial concepts and results into practical, accessible insights.

· Collaborate Across Actuarial and Technology Teams: Work alongside actuaries, engineers, data scientists, and other specialists to translate actuarial requirements into technical specifications, test solutions, validate outputs, and support successful implementation.

· Ensure Quality and Accuracy: Perform rigorous validation of data, assumptions, calculations, models, and outputs, identifying and resolving issues and ensuring work aligns with professional standards, regulatory requirements, and internal best practices.

· Contribute to Actuarial Innovation: Help develop and enhance tools, methodologies, automation, and AI-enabled solutions that modernize actuarial work, improve efficiency, and create greater value for clients.

· Contribute to High-Performing Teams: Take ownership of assigned deliverables, manage priorities and deadlines effectively, collaborate across project teams, and actively build the technical, consulting, and industry knowledge needed to take on increasing responsibility.

Qualifications

Education: Expected to graduate in 2027 or already holds a BA/BS degree in Actuarial Science, Mathematics, Statistics, Economics, Finance, or a related field.
Experience: Relevant actuarial experience, including internships or other professional experience.
Commitment to pursuing CAS actuarial credentials.
Communication Skills: Exceptional verbal and written skills to convey complex information effectively to diverse audiences.
Analytical Mindset: Strong problem-solving capabilities; intellectual curiosity to meet tight deadlines.
Microsoft Suite: Advanced Excel for data analysis and reporting.
Strong Organizational Skills: ability to prioritize, manage multiple tasks and meet project objectives and deadlines.
AI Proficiency: Experience utilizing AI technologies for modeling and analytics.
Programming: Knowledge of programming languages (Python, R, SQL is a plus)

Compensation & Benefits

Base salary range (U.S.): $65,000 – $110,000 CAD, depending on location, exams, and experience.

In addition, we offer:

· Actuarial exam support program (paid study time, exam reimbursement, study materials, first-time pass incentives)

· Performance-based incentives

Work Authorization

This role is also contingent on the submission of proper authorization to work in Canada and your ability to maintain your right to legally work for the Company in for the duration of your employment.

Why join us?

· Come aboard if you are excited by challenges and want to work across different cultures.

· We want you to step out of your comfort zone and embrace your curiosity.

· Our consultants learn on the job and receive formal training to develop their communication, presentation, analytical, and client management skills.

· You’ll find genuine colleagues who stand by their beliefs and measure success by the lasting impact you create together.

· We believe in flexibility, including the opportunity of hybrid working. You are also invited to join our colleague resource groups and social activities.

We hire you to be you

· Our open, inclusive, and down-to-earth culture will enable you to bring your best self to work.

· You’ll work alongside authentic colleagues who do serious work, but don’t take themselves too seriously.

· There’s no corporate mold to fit and hierarchy doesn’t get in the way.

· We do not let artificial barriers stand in the way of your personal career progression.

Oliver Wyman is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow us on LinkedIn and X. The Actuarial Practice of Oliver Wyman, a Marsh business, advises clients across a broad spectrum of risk management issues. We are a rapidly growing group with offices expanding across the globe. Our actuaries hold the highest professional qualifications and are nationally recognized as experts in their field(s). We use mathematical and statistical modeling skills and our qualitative assessment methodologies to assist clients in evaluating and addressing risk. Our solutions help clients manage and prepare for the potential financial consequences of uncertain future events. We bring a combination of broad-based expertise with specialized knowledge of specific risks, allowing us to provide independent, objective advice in the three primary areas of risk: healthcare, life and annuity, and property and casualty.Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law. In accordance with the Accessibility for Ontarians with Disabilities Act, 2005, Marsh will provide a reasonable accommodation to employees and prospective employees to the point of undue hardship upon request and as required in respect of the individual’s particular restrictions and limitations. If you require a specific accommodation because of a disability or medical need, please contact reasonableaccommodations@marsh.com.Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.

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More about this job

Responsibilities

The analyst will develop, validate, and operationalize actuarial models while collaborating with multidisciplinary teams to deliver transformative insurance solutions. Responsibilities include conducting complex data analysis, supporting client engagements, and contributing to actuarial innovation through automation and AI-enabled workflows.

Requirements

Candidates must hold or be pursuing a degree in Actuarial Science, Mathematics, Statistics, Economics, or Finance, with a commitment to obtaining CAS credentials. Proficiency in Microsoft Excel, programming languages like Python or R, and experience with AI technologies are required.

Skills

Actuarial science
Risk management
Data analysis
Economic capital modeling
Pricing
Reserving
Process automation
AI-enabled workflows
Model transformation
Python
R
SQL
Microsoft Excel
Problem-solving
Communication
Strategic decision-making

Benefits

Actuarial exam support program
Paid study time
Exam reimbursement
Study materials
First-time pass incentives
Performance-based incentives
Hybrid working

Visa sponsorship

Not detected in the job text

Keywords

Actuarial Science
Property & Casualty
Insurance
Risk Management
Capital Modeling
Pricing
Reserving
Data Analysis
AI
Automation
Python
R
SQL
Microsoft Excel
CAS
Consulting
Financial Modeling
Statistical Modeling
Business Strategy
Actuarial Modernization

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