Position Overview :
The RSA Actuarial team is always on the lookout for top Actuarial talent. We are growing and looking for a variety of backgrounds to add to our diverse disciplined team.
Our growth will be in Commercial Pricing, Personal Pricing, 17 (International Financial Reporting Standard), Economic Capital, Analytics, Data Science and Reserving.
If your background and interests align to our any of areas of focus, we would love to learn a bit more about you.
Who you are
Your enthusiasm is infectious. You challenge the status quo. You find solutions to problems. You go the extra mile to exceed customers’ expectations.
You get things done the right way. You represent our brand with passion and pride. You are a team player. You have fun and you make work fun for those working around you.
What you will achieve in this role
Commercial and Personal Lines Pricing :
Develop new predictive models and incorporate machine learning techniques to be used for pricing and underwriting
Create new and improve existing analytical tools and models;
Contribute to proposals for new and innovative approaches for pricing, underwriting, portfolio management and product design based on statistical analyses, a solid understanding of P&C insurance products, and awareness of RSA business strategy;
Update pricing assumptions used in rate indications, produce indicated overall rate level changes
Economic Capital :
Parameterize, calibrate and run our Internal Model to project our future balance sheet given the business we have written in the past and are writing today.
Interrogate the results to understand the capital requirements of our business and what is driving these requirements.
Perform key tasks such as operational plan updates, stress and scenario testing, sensitivity testing, and updating our model each quarter to reflect changes in our balance sheet.
Contribute to the development of our Internal Model with objectives of increasing usability and improving efficiency such that more focus can be given to analysis, increasing business engagement and integration with business decision making.
Enhance analytical capabilities across the company through learning & implementing advanced analytical techniques and automation
Produce and maintain existing analytical tools and reports for key business stakeholders, as well as create new and improve existing tools
Collaborate within Analytics and also with other areas of business by discussing and sharing analyses and insights
Support the ongoing improvement of data integrity and quality used in management information
Data Science :
Develop new predictive models and incorporate machine learning techniques to be used for pricing, underwriting, portfolio management, claims analytics, and operations
Ability to visualize and communicate modelling findings with various business units
Continuous working with cutting-edge data science technology from data manipulation to predictive modelling
Increase business and technical knowledge through frequent liaison and collaboration with colleagues in various business units
Reserving and IFRS17 :
Assist in the setting and monitoring of actuarial liabilities for all legal entities in RSA Canada by performing monthly, quarterly, and annual actuarial analyses of policy liabilities including data management, identifying anomalies or trends and addressing possible issues
Assist in monthly, quarterly and annual financial reporting for unpaid claim liabilities and contribute to the development of new finance processes and reporting to maintain compliance with local and international reporting standards
Increase business and technical knowledge through frequent liaison with colleagues throughout the business and the industry and use this in combination with the actuarial analysis carried out to add insight and understanding to our business
Help develop our current reserving and finance processes and evolve them into an IFRS17 compliant status. Keep informed of any changes and developments in the standard so we can react accordingly.
What you bring to this role
University or college degree in actuarial science, mathematics, statistics, or related field
Excellent analytical, organizational, problem-solving, and documentation skills
Skills range from technical computer use of Excel, Access, VBA, actuarial specialist software skills to proficiency with R and good knowledge of SQL, SAS and Python
Experience in working with large data sets from various sources and formats
Strong communication skills (both oral and written)
Out-of-the-box thinker, striving for innovate solutions to business and analytic problems
Uncompromising standards on technical expertise and integrity
Ability and willingness to continuously expand knowledge and skills through efforts during and outside of work, with an emphasis on new technical developments as well as leadership techniques
Some roles require working towards, or already received, an ACAS designation or equivalent as well as working towards Fellowship.
However Data Science / Analytics roles do not have the requirement for previously mentioned designations.