
Senior Actuarial Analyst, P&C Pricing
- Toronto, ON Montréal, QC
- Permanent
- Temps-plein
- quantitative modelling
- actuarial science
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)
- 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
- 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