Senior Actuarial Analyst, P&C Pricing

At KPMG, you'll join a team of diverse and dedicated problem solvers, connected by a common cause: turning insight into opportunity for clients and communities around the world. 

To support its strong growth, KPMG is recruiting a number of professionals in the financial services sector. You will be involved in a variety of projects with clients exclusively in the financial services industry, including insurance companies and major Canadian banks.

Depending on your interests, you will work closely with partners and managers on engagements related to:

• quantitative modelling
• actuarial science

You are highly motivated and enthusiastic about taking on various challenges and working on projects of strategic importance. You have a strong ability to home in on key quantitative and qualitative concepts to develop value-added recommendations for our clients. You are a big-picture thinker and grasp new concepts quickly.

• Help carry out engagements regarding process reviews and optimization, strategic support and model reviews. Depending on your interests, engagements may cover the following types of activities:
  • Quantitative and econometric modelling in the context of P&C insurance
  • Actuarial modeling using deterministic and stochastic methods by using various machine learning techniques
  • Development of tools and analytics in the actuarial context
  • Financial risk management, including the metrics and models used and governance
• Support managers in drafting deliverables
• Quickly grasp concepts and issues that are key to meeting client needs and suggest potential solutions or areas for improvement
• Interact effectively with other team members and clients (internal and external)
• Support the team as needed on engagements involving pricing, control and governance reviews or requiring quantitative analysis (including statistical factors)

General Qualifications

• Graduate diploma in finance, financial engineering, actuarial science, economics, financial economics or any related field, or a combination of a bachelor's degree and a professional designation (ACAS or FCAS) or record of working towards a designation
• Minimum 2-5 years of experience in P&C insurance industry, financial analysis, actuarial analysis, risk analysis, data science, statistical and quantitative modelling, or other similar relevant experience
• Understanding of how insurance companies and banks work
• Ability to clearly structure and summarize a number of concepts and make compelling recommendations
• Skilled at producing compelling presentations and reports
• Strong analytical and problem-solving skills
• Excellent communication skills. 
• Sense of initiative and strong organizational and priority management skills
• Demonstrated ability to learn and succeed in a fast-paced, high-pressure environment
• Excellent teamwork and relationship-building skills
• A proven ability to handle a broad range of activities with competing priorities
• Highly disciplined and detail-oriented

Specific Qualifications Depending on Area of Interest

• Quantitative modelling
  • Knowledge of statistical and econometric modelling techniques (linear and logistic regression, time series, variable selection methods, Monte Carlo simulation, etc.)
  • Knowledge of a programming language (Matlab, Python, R) (an asset)
• Actuarial modeling
  • Hands-on experience with actuarial modeling and P&C pricing (an asset)
  • Knowledge of data languages like SQL, VBA, SAS
  • Knowledge of P&C products

The position involves working with English speaking clients and the incumbent must be able to communicate with the clients, both verbally and in writing, in English. They also must be able to assist with the preparation of English language documents.

This role is hybrid and requires in-person presence in our Montreal Office.

Providing you with the support you need to be at your best 

Integrity, we do what is right | Excellence, we never stop learning and improving | Courage, we think and act boldly | Together, we respect each other and draw strength from our differences | For Better, we do what matters

KPMG in Canada is a proud equal opportunities employer and we are committed to creating a respectful, inclusive and barrier-free workplace that allows all of our people to reach their full potential. A diverse workforce is key to our success and we believe in bringing your whole self to work. We welcome all qualified candidates to apply and hope you will choose KPMG in Canada as your employer of choice.

Adjustments and accommodations throughout the recruitment process

At KPMG, we are committed to fostering an inclusive recruitment process where all candidates can be themselves and excel. We aim to provide a positive experience and are prepared to offer adjustments or accommodations to help you perform at your best. Adjustments (informal requests), such as extra preparation time or the option for micro breaks during interviews, and accommodations (formal requests), such as accessible communication supports or technology aids, are tailored to individual needs and role requirements. You will have an opportunity to request an adjustment or accommodation at any point throughout the recruitment process. If you require support, please contact KPMG's Employee Relations Service team by calling

AI Usage

We embrace the use of artificial intelligence (AI) to enhance the candidate experience and streamline our recruitment processes. AI tools may help with organizing applications or surfacing relevant qualifications. However, no hiring decisions are made using AI. Every hiring decision is made by our hiring managers and recruitment professionals, who are equipped with training that empowers them to use these tools responsibly. AI technologies used in our recruitment process undergo detailed risk assessments, including security and privacy requirements, that align with KPMG's Trusted AI framework.

We believe technology should empower human judgment, not replace it. It's one of the many ways we're delivering on our vision of being a technology-first, people-driven firm.