Early Careers: Affinity Internship – Summer 2026
Toronto, Ontario, Canada. Montreal, Quebec, Canada
Early Careers: Affinity Internship – Summer 2026
- 202600830
- Toronto, Ontario, Canada
- Montreal, Quebec, Canada
- Full time
Description
Please submit a CV/resume and an optional cover letter in 1 PDF file with your application.
Note: Employment-based non-immigrant visa sponsorship and/or assistance is not offered for this specific job opportunity.
Create your future: We are a unique practice in the Canada marketplace that focuses on the development and enhancement of insurance solutions targeted at large customer or membership bases of clients (e.g. banks, credit unions, retailers, associations, hospitality providers, etc.). As an actuarial intern in our practice, you will be a key resource in helping to prepare and reconcile data, develop and maintain key models and assist the insurance consulting teams, including senior actuarial personnel. You will be exposed to a variety of lines of insurance business and unique solutions supporting an ever-evolving marketplace.
The Opportunity: We are seeking a qualified candidate that can support our consulting team across a variety of sectors and insurance lines of business in the market (e.g. embedded credit card insurance, travel insurance, home & auto insurance, life and health solutions, etc.). The ideal candidate can work well in teams to support our consulting mandates and can also work independently (with appropriate guidance). Key responsibilities include:
- Providing actuarial and analytics support on various insurance business lines and programs; including assistance with pricing, loss reserving, financial modeling and forecasts, and benchmarking;
- Actuarial support to senior consulting staff on consulting mandates, including data reconciliation and compilation, production of reports, presentations, summary analyses, etc.
- Leveraging of technical skills to assist with the streamlining of processes, increasing efficiencies and providing additional perspectives on tackling challenging actuarial problems;
- Assist actuarial and non-actuarial consultants with research and presentation material for new client prospects.
Key Behaviors
Problem solving
- Ability to apply advanced mathematical / actuarial concepts and techniques
- In-depth investigations, problem identification, development of effective solutions
- High standards of quality control
- Seeks assistance / support as appropriate
Interpersonal & Communications Skills
- Demonstrates good listening skills
- Exhibits positive attitude
- Strong work ethic, demonstrates initiative
- Effectively manages priorities, handling multiple projects under tight timeframes
- Responds constructively to different viewpoints, changing priorities & conditions
Teamwork
- Strong team player, with ability to work with diverse skillsets
- Shares knowledge, opinions and insights in constructive manner
- Offers to help others without prompting
Qualifications
About You:
- Not be a student at an university subject to the university recruitment for internships in actuarial science rules, established by Université Laval, Université de Montréal and Université du Québec à Montréal
- Progressing through a university degree in Actuarial Science, Mathematics, Statistics, Data Science, Computer Science or any other relevant technical specialization.
- Actively pursuing an actuarial designation through a recognized professional association
- Highly organized, resourceful and excellent attention to detail
- Strong analytical and critical thinking skills
- Effective time management skills with the ability to manage multiple projects and work independently
- Strong verbal and written communications skills
- Experience and knowledge of MS Office (strong focus on Excel, with experience in Word and PowerPoint)
- Experience with manipulating and summarizing large data sets using R, Python, SQL or similar programming tools.
Other Valuable Candidate Assets
- Bilingual (English and French)
- Experience with summarizing and visualizing data using dashboard reporting tools like Power BI
- Experience with personal insurance programs
- Experience with automation or AI-enabled tools
The Application-Interview Process:
Step 1: Online application, including resume/CV and optional cover letter
Step 2: Online assessments and Video Interview
Step 3: Virtual Interview with hiring manager and team
Step 4: Offer and onboarding
Compensation
The hourly rate being offered for this role is between $30.00 to 35.00/hourly CAD. This role is also eligible for overtime.
Artificial Intelligence (AI) tools may be used in the process to screen, assess, or select applicants for a position but all final decisions and determinations are made exclusively by authorized human personnel.
This job posting is an advertisement for an existing vacancy.
We’re committed to equal employment opportunity and provide application, interview and workplace adjustments and accommodations to all applicants. If you foresee any barriers, from the application process through to joining WTW, please email candidate.helpdesk@willistowerswatson.com
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Any unsolicited resumes/candidate profiles submitted through our web site or to personal e-mail accounts of employees of Willis Towers Watson are considered property of Willis Towers Watson and are not subject to payment of agency fees. In order to be an authorized Recruitment Agency/Search Firm for Willis Towers Watson, any such agency must have an existing formal written agreement signed by an authorized Willis Towers Watson recruiter and an active working relationship with the organization. Resumes must be submitted according to our candidate submission process, which includes being actively engaged on the particular search. Likewise, for our authorized Recruitment Agencies/Search Firms, if the candidate submission process is not followed, no agency fees will be paid by Willis Towers Watson. Willis Towers Watson is an equal opportunity employer. If you would like to have your contact information saved for future consideration, please email: Agency.inquiries@willistowerswatson.com.
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