Senior Actuarial Analyst, Pricing Analytics

TD; Montreal (administrative region); On-site; CAD 100,000 - 130,000; Full time

Job summary

TD Insurance in Montréal, Quebec, is seeking an Actuarial Analyst for the Pricing Analytics team. You will design and implement end-to-end predictive models to optimize risk selection and drive strategic decisions across the Property and Casualty insurance lifecycle.

Collaborate with actuaries, data scientists and ML specialists, develop ML solutions, ensure governance, and communicate findings to stakeholders.

Qualifications

• Actuarial experience in Property & Casualty insurance (min 4 years).
• Bachelor degree in Actuarial Sciences or related field.
• Proficiency in programming, preferably Python.
• Understanding of modern ML techniques in insurance contexts.
• Strong analytical, decision-making and problem-solving skills.
• Excellent communication and teamwork abilities.

Responsibilities

• Develop and maintain 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.

Skills

Actuarial experience

Python programming

Machine learning

Analytical thinking

Communication skills

Teamwork

Education

Bachelor's degree in Actuarial Sciences

Tools

Python

Databricks

Snowflake

Spark

AWS

Azure

GCP

Job description

TD Insurance in Montréal, Quebec, is seeking an Actuarial Analyst for the Pricing Analytics team. You will design and implement end-to-end predictive models to optimize risk selection and drive strategic decisions across the Property and Casualty insurance lifecycle.

Collaborate with actuaries, data scientists and ML specialists, develop ML solutions, ensure governance, and communicate findings to stakeholders.