Line of Service
Assurance
Industry/Sector
Not Applicable
Specialism
Actuarial Services
Management Level
Associate
Job Description & Summary
A career in our Risk Modelling Services (RMS) team as a Life Actuary will provide you with the opportunity to contribute risk modeling and general insurance advice and consulting services to insurance companies, reinsurance companies, and government agencies, as well as audit support for various insurance entities. You will work directly with our experienced actuaries and other actuarial associates on a wide range of projects including valuation, pricing, financial reporting, capital reporting, modelling, risk management and implementation of new laws and regulations. Other than core actuarial functions, you may also be involved in broader risk modelling services across all sectors in areas related to ESG reporting, cyber risk modelling and predictive analytics. You will have the opportunity to work with other professionals within PwC leveraging the latest technology to help solve client challenges. With us, you will have a clear career path and leaders who care about and support your development and goals. We focus on offering diverse learning and development opportunities to produce well-rounded professionals.
Meaningful work you’ll be part of
As Life Actuarial Associate on the Risk Modelling Services team, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. Responsibilities include but are not limited to:
Provide support for IFRS 17 financial statement audits as an actuarial specialist, including assessment of valuation methodology and assumptions, experience studies, regulatory capital reporting, reserve reconciliation and data validation. You will work closely with experienced actuaries and colleagues on the Core Assurance team to ensure that the actuarial liabilities are fairly presented in the financial statements.
Provide support for a broad range of actuarial consulting services. These could include Appointed Actuary work, model development, model validation, pricing and product development, model risk management, climate risk management, etc.
Participate in business development and ad-hoc projects (e.g., actuarial and finance modernization, process automation, development of AI solutions).
Participate in cross-functional projects with other teams within PwC, such as Financial Services Consulting, Advisory, Deals, Tax, and Data & Analytics.
Experiences and skills you’ll use to solve
Bachelor’s or Master’s degree in Actuarial Science , Mathematics, Statistics, Finance, Computer Science, or a related field.
Experience in Moody’s AXIS, Risk Integrity, data analytic tools ( e.g. Alteryx, Tableau), and programming languages ( e.g. Python, SQL, VBA) is considered an asset.
This newly created role reflects our commitment to growth and delivering distinctive value for our clients and stakeholders.
Compensation and benefits
Competitive salary based on your skills, experience, qualifications, and work location; eligible for overtime pay.
The salary range for this position is $68,000 - $88,000. Eligible employees will also have the opportunity to participate in our performance pay programs which are designed to reward individual and firm-wide achievements . We are committed to offering competitive compensation and adhere to all relevant pay transparency legislation.
Personalized Benefits & Wellbeing : Choose flexible health, dental, vision, life, and disability coverage. Access mental health support ($3,500 annually), virtual care, and up to a $750 lifestyle account for wellness, fitness, and personal growth.
Time off to focus on what matters most: Enjoy up to 31 paid days off including summer and winter office closures, substitute a public holiday to observe your religious holiday, or take part in international remote work options to extend your time abroad,
Inclusive, Purpose-Driven Culture : Join a diverse, supportive team where you can be your authentic self, build lifelong relationships, and help shape tomorrow.
PwC Canada acknowledges that we work and live across Turtle Island, on the land that is now known as Canada, which are the lands of the ancestral, treaty and unceded territories of the First Nations, Métis and Inuit Peoples. We recognize the systemic racism, colonialism and oppression that Indigenous Peoples have experienced and still go through, and we commit to allyship and solidarity.
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Accepting Feedback, Active Listening, Actuarial Science, Communication, Complex Data Analysis, Emotional Regulation, Empathy, Financial Data Mining, Financial Modeling, Financial Risk Analysis, Financial Risk Management, Inclusion, Intellectual Curiosity, Optimism, Presenting Financial Reports, Risk Analysis, Risk Model Implementation, Statistical Analysis Software, Statistical Consulting, Statistical Modeling, Strategic Forecasting, Teamwork, Well Being
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not Specified
Available for Work Visa Sponsorship?
No
Government Clearance Required?
No
Job Posting End Date
June 12, 2026
We’re committed to providing accommodation throughout the application, interview, and employment process. If you require accommodation to be at your best, please let us know during the application process.
The use of artificial intelligence (AI) in recruiting is just getting started, so we know you have questions about how and why we use it. At certain points during our recruiting process, we rely on AI to improve your experience. This could be during resume review or curating personalized job recommendations, asking you clarifying questions via a chatbot or during our interview scheduling to improve your experience. Our use of AI helps ensure we combat bias by evaluating candidates equally and fairly, without seeing identity information, such as your name, or gender for example). AI also helps us better predict successful hires by reviewing all applicants for a role and the relationship between your skills, experience and likely success at PwC Canada. While AI supports parts of our recruitment process, final hiring decisions always involve human review. For more information about our use and protection of your data, please refer to our Privacy Policy (https://www.pwc.com/ca/en/privacy-policy.html).
Nous tenons à répondre à vos besoins tout au long du processus de demande d’emploi, d’entrevue et d’embauche. Si vous avez besoin de mesures d’adaptation pour être parfaitement à l’aise, faites-le-nous savoir à l’étape de la demande d’emploi.
L’utilisation de l’intelligence artificielle (IA) dans le domaine du recrutement en est à ses balbutiements. Nous savons que vous pourriez vous demander comment et pourquoi nous y avons recours. À certains stades de notre processus de recrutement, nous comptons sur l’IA pour améliorer votre expérience. Par exemple, pendant l’examen du curriculum vitæ ou l’élaboration d’une liste de recommandations personnalisées, un agent conversationnel pourrait vous demander des précisions ou fixer avec vous un rendez-vous pour l’entrevue. L’IA nous aide à mieux lutter contre les préjugés, car l’évaluation des candidats se fait de façon juste et équitable, sans que les informations d’identification comme le nom ou le sexe soient connues. Elle nous permet également de mieux repérer les bons candidats pour un poste et d’évaluer le lien entre leurs compétences, leur expérience et leurs chances de réussir chez PwC Canada. Bien que l’IA facilite certaines étapes de notre processus de recrutement, les décisions finales d’embauche sont toujours prises par des personnes. Pour en savoir plus sur l’utilisation et la protection de vos données personnelles, consultez notre politique sur la protection des renseignements confidentiels (https://www.pwc.com/ca/fr/privacy-policy.html).
