Job Description

Job Summary:

Supports GPA department functions and staff by performing actuarial analyses and calculations, preparing reports, participating in meetings, and participating in various actuarial projects.

Essential Job Functions:

• Support TMHD actuarial governance procedures for insurance liabilities. This could include assisting in the preparation of TM Group actuarial policies, reviewing governance-related submissions from individual group companies, and performing research on governance best practices and procedures.
• Gather, prepare, and reconcile data for actuarial loss reserve reviews of individual group companies. Perform the first draft of the actuarial loss reserve reviews, including method selections, assumption selections, and final reserve estimate selections. These steps would be performed under the direction of one of the managers of the GPA department.
• Assist in research to support the actuarial loss reserve process reviews performed on individual group companies by the GPA department, including recommending best practice improvements.
• Support projects being performed by the International Actuarial Reserve Committee (IRAC) or those assigned to the GPA department. This could include TM Group reserve-related dashboard compilations, Reserving Modernization projects, and industry research and reporting.
• Contribute to reviews of group-wide financial reporting for premium reserves and insurance liabilities for IFRS17 and ICS accounting standards.
• Support projects undertaken by the GPA department actuarial modernization lead.

Qualifications:

• 2+ years’ prior property/casualty actuarial experience.
• 3+ actuarial exams completed.
• Understanding of statistical methods and actuarial tools and techniques.
• Knowledge of approaches, tools, techniques for recognizing, anticipating, and resolving actuarial, operational or process problems.
• Ability to understand solutions that resolve problems in the best interest of the business.
• Analytical and reasoning skills with the capability to determine the root cause of actuarial problems.
• Ability to process actuarial-related information with high levels of accuracy.
• Bachelor's degree with a concentration in math, finance or economics preferred.
• Ability to work effectively as part of a global team.
• Proficient in one or more coding language(s), e.g., R and/or Python.
• Demonstrates curiosity and a problem-solving mindset.
• Future-focused with an interest in application of AI.

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