Senior Actuarial Analyst - Pricing Modelling

Job title: Senior Actuarial Analyst - Pricing Modelling

Job Overview

Working with a high degree of autonomy, the Actuarial Pricing Modelling provides contributions to the actuarial group based on knowledge from the actuarial exam system and prior relevant academic or work experience. They will mentor Actuarial Analyst colleagues while applying their knowledge to complex actuarial analysis in the pursuit of solving business issues and answering business questions.

Job Responsibilities

• Researches, extracts, and manipulates complex data from relevant sources, and assesses data quality
• Supports the business and overall team by performing analyses/reviews and completing ad-hoc requests/special projects in a timely manner with minimal support from peers and leaders
• Evaluates procedures and processes, and recommend alternatives or improvements
• Evaluates existing processes to find areas for increased efficiency
• Identifies opportunities for automation of routine tasks
• Develops new approaches to problem solving and assess impacts with minimal support from leaders
• Identifies emerging industry trends and analyzes the impact they will have on Wawanesa
• Encouraged to represent Wawanesa at external events that may include universities, actuarial clubs, industry organizations, and charitable causes
• Commits to professional development and continuous experiential learning to build cross-functional knowledge, technical skills, and mastery in competencies
• Focuses learning activities on bringing new knowledge and skills to team in order to address any existing gaps
• Provides regular project updates to stakeholders. Anticipates obstacles and raises them in advance
• Builds trust with teams around the actuarial function. Leads some projects from beginning to end, Include implementation of final product. May include training and documentation of the project
• Actively contributes to the mentorship, training and development of actuarial analysts
• Reviews analysis of peers and provides thoughtful feedback on reasonableness, completeness and accuracy
• Builds trust and credibility with peers
• Develops strong working relationships across teams

Qualifications

• Bachelor’s degree in Actuarial Science, Mathematics, Statistics, or other related discipline

• More than two years of actuarial experience an asset

• Working towards ACAS designation; 4 CAS exams an asset

• Experience with machine learning modelling or other pricing modelling methods and software

• Ability to translate problem solving methods and ideas to various computer languages efficiently and effectively

• Ability to apply knowledge of actuarial science, mathematics, probability, statistics, principles of finance and business to problems in insurance

• Understanding of database systems and how to interpret/extract data from those systems

• Advanced written and verbal communication skills with ability to communicate at the right level of complexity for the audience

• Ability to develop timelines for projects and handling multiple concurrent assignments in a timely manner while proactively keeping leader informed of progress

• Works efficiently and cooperatively in a team environment and involve others when appropriate

• Ability to ask effective questions to elicit detailed and relevant information

• Diversity Equity, Inclusion & Belonging

• At Wawanesa, we are committed to Diversity, Equity, Inclusion and Belonging (DEIB) and believe that our strength lies in the diversity of our people – this is supported by having a representative workforce.

• We welcome applications from all qualified candidates, including racialized persons, women, Indigenous Peoples, persons with disabilities, members of the 2SLGBTQIA+ community, gender-diverse and neurodiverse individuals, and anyone who can contribute to the further diversification of thought and ideas.

• We aim to ensure our recruitment process is accessible to all candidates. If you require accommodations during any stage of the recruitment process, please reach out in confidence to [email protected].

• All Wawanesa job applicants are subject to Wawanesa's Privacy Policy.

• Please note that the recruitment process for this position may involve the use of AI tools to screen, assess, or select applicants. All final decisions are taken or reviewed by human recruiters and human hiring leaders in compliance with all applicable legislation.