Actuary, Actuarial Reporting - Permanent - Canada Life Reinsurance

The Role

After a very successful period of growth over recent years CL Re has developed a significant and diverse portfolio of reinsurance transactions. The Modelling team is responsible for management of the data and liability models used for actuarial reporting. The team’s work is wide ranging and includes delivery of quarterly (IFRS, LICAT, Solvency 2, treaty collateral) and annual (business plan, financial condition testing, ORSA) reporting.

A bright, talented and motivated individual is sought to fill a qualified actuary role on the team. This is a great opportunity to join the team as we set out on our next phase of evolution following the high volume of new business of recent years and the transition to IFRS17.

This role would suit a curious, ambitious and innovative actuary who enjoys working in a fast paced, dynamic environment and relishes the opportunity to work with complex models. The successful candidate will gain exposure to a wide range of reinsurance transactions, actuarial models and a variety of software (e.g., Prophet, SQL, Excel, R, Power BI…etc.). They will work alongside and learn from skilled and experienced modelling and reporting actuaries.

The breadth and depth of responsibility of the role will be tailored to suit the skills and experience of the successful candidate who will:

• Support the production of the quarterly (e.g., liabilities and earnings, capital) and annual (e.g., business plan, financial condition testing) actuarial reporting deliverables.
• Produce a detailed breakdown of the liability movements arising from policyholder experience to support the transaction performance analysis.
• Draft accurate, clear and concise documentation and effectively communicate insights and results to key stakeholders, including the financial and capital reporting teams. 
• Work with the Business Development team, the Operations team and the various actuarial teams to implement new transactions into the actuarial modelling framework.
• Work with CL Re IT to develop and maintain the appropriate infrastructure to support the actuarial modelling environment and actuarial SQL platform.
• Design, develop and implement improvements to the actuarial data models, actuarial liability models (including model governance and controls) and reporting processes to improve functionality, further automate existing reporting, accelerate reporting timelines and enhance the control environment.
• Support the design, development, planning and implementation of relevant CL Re and Group projects and strategic initiatives. Process and system developments will be a key priority over 2025 - 2027.
• Keep up to date with emerging experience and best practice through engagement with colleagues across Lifeco, the relevant professional bodies and individual research.

The Person

The ideal candidate will have:

• Completed the actuarial examinations with at least three years relevant experience in either a life insurance or life reinsurance environment.
• Some experience of data management, financial reporting, cash flow modelling or model development.
• An enthusiastic approach to work with a strong work ethic, a keen appetite to learn and develop and a willingness to work to a flexible schedule.
• An assertive and self-motivated personality with the capacity to work autonomously, as part of a team and across teams.
• Strong analytical skills with the ability to reliably collect, manage and assimilate large amounts of data with attention to detail.
• An ability to plan work, manage time effectively and deal with changing requirements to ensure timely completion of all deliverables.
• The capacity to effectively and efficiently to solve problems and make decisions to ensure successful completion of deliverables.
• Well-developed verbal and written communication skills.
• Proven influencing skills to motivate outcomes and drive change.
• Proficient user of MS Excel, MS Access, MS Word and MS PowerPoint.
• Experience of modelling software (ideally Prophet), SQL, R, data visualisation software (ideally Power BI) and an understanding of coding standards and best practice.
   

Key Competencies