September 2027 - Actuarial P&C (Non-CPA) - Full-time - Montreal

PwC•Montreal, QC

1d•Onsite

About The Position

At PwC Canada, we’re more than a professional services firm—we’re a community of solvers tackling the world’s most important problems. As an Associate in our Risk Services practice, you’ll be part of a diverse, inclusive team that values your perspective and empowers you to make a real impact. You’ll build relationships, gain hands-on experience with cutting-edge technologies, and contribute to work that matters—whether it’s helping clients navigate complex challenges or driving trust in their reporting. You’ll be joining a firm that’s invested in your success from day one. As a new Associate in our Risk Services Practice, you’ll also gain hands-on experience with experienced professionals and be exposed to our innovative AI and digital tools to help you build future-ready capabilities in data, technology, and business acumen. Working with market-leading clients across diverse industries, you’ll be exposed to complex, real-world challenges that accelerate your professional growth. Beyond your work, PwC Canada offers a comprehensive health and wellness benefits package, including mental health support, flexible work options, and paid time off to volunteer in your community. You’ll also have access to leadership development opportunities, inclusive employee networks, and a vibrant culture that values belonging, purpose, and continuous learning. Grow here, go further. The Opportunity: Actuarial Property & Casualty A career in our Risk Modelling Services (RMS) team as a Property & Casualty 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, solvency and capital management, economic capital, financial condition testing, and the 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 climate, cyber risk modelling, and predictive analytics.

Requirements

Sufficient knowledge of the P&C insurance industry including policy liability valuation, financial condition testing, IFRS 17, pricing, or predictive modeling
Actively pursuing the Canadian Institute of Actuaries qualification of FCIA
Commitment to providing excellent client service, by building and maintaining productive relationships with both internal and external clients
Strong analytical, problem solving and multitasking/project management skills
Proficiency in reserving or statistical applications such as Arius, R, or Python
Continuous improvement mindset, challenges the status quo and seeks self-improvement
Strong written and oral communication skills, including experience presenting in a business context
A demonstrated commitment to valuing differences and working alongside and/or coaching diverse people and perspectives
Excellente maîtrise du français exigée

Nice To Haves

Proven ability working with data analytic tools (Tableau, Alteryx, VBA) considered an asset
Exposure within a consulting or advisory role (or capable to work in a consulting/audit environments and project-based work) considered an asset

Responsibilities

Contribute risk modeling and general insurance advice and consulting services to insurance companies, reinsurance companies, and government agencies.
Provide audit support for various insurance entities.
Work directly with experienced actuaries and other actuarial associates on a wide range of projects including valuation, pricing, solvency and capital management, economic capital, financial condition testing, and the implementation of new laws and regulations.
Be involved in broader risk modelling services across all sectors in areas related to climate, cyber risk modelling, and predictive analytics.