Join to apply for the Actuarial Senior Consultant role at KPMG Canada
1 day ago Be among the first 25 applicants
Join to apply for the Actuarial Senior Consultant role at KPMG Canada
Get AI-powered advice on this job and more exclusive features.
Overview
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.
Overview
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.
What You Will Do
- 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
What you bring to the role
- 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
Providing you with the support you need to be at your best
Our Values, The KPMG Way
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 1-888-466-4778.
Seniority level
Seniority level
Not Applicable
Employment type
Job function
Job function
Finance and Sales
Referrals increase your chances of interviewing at KPMG Canada by 2x
Get notified about new Senior Actuarial Consultant jobs in Montreal, Quebec, Canada.
Analyst, Actuarial analysis and statistics
Senior Actuarial Consultant - Auto Pricing
Greater Montreal Metropolitan Area 6 days ago
Sr Actuarial Analyst, Personal Insurance Pricing
Senior Actuarial Analyst - Recreational Vehicle Pricing
Senior Actuarial Advisor, Portfolio Management and Analysis
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.