Work Location: Montréal, Quebec, Canada Hours: 35 Line of Business: Data & Analytics Pay Details: 85 000 $/$85,000 - 110 000 $/$110,000 CAD

Responsibilities

Responsibilities:

- Develop and maintain sophisticated actuarial predictive models using advanced statistical techniques and machine learning algorithms
- Collaborate with Pricing teams to understand business requirements and present findings to stakeholders
- Support model governance efforts and ensure compliance with internal and external requirements
- Write clean, efficient, and maintainable code following industry best practices and coding standards.
- Monitor model performance and implement improvements based on emerging techniques and business needs
- Manage multiple modeling projects while meeting deadlines and maintaining detailed technical documentation

Job Requirements

- At least 2 years of actuarial experience in Property & Casualty insurance
- Bachelor degree in Actuarial Sciences or related field
- Proficiency and interest for programming, preferably python




- Base understanding of modern machine learning techniques and their practical applications in insurance contexts
- Advanced analytical, decision-making and problem solving skills
- Client-focused and aptitude for teamwork
- Outstanding communication skills with ability to articulate complex technical concepts to wide-ranging audiences, from technical teams to senior leadership
- Excellent time management skills with a proven ability to meet deadlines.
- Autonomous and perseverant; shows initiative and creativity in their work
- Recognized for their thoroughness and the quality of their work

Preferred Qualifications

- Marked progress on professionnal actuarial exams (CAS or CIA)
- P&C; pricing experience
- Experience with cloud computing platforms (AWS, Azure, or GCP)
- Knowledge of modern data architecture and big data technologies (Databricks, Snowflake, Spark, etc.)

Who We Are

As part of TD

📌 Actuarial Analyst (Montreal)
🏢 Meloche Monnex
📍 Montreal