Lead pricing analytics in Montréal with actuarial expertise, machine learning knowledge, and Python programming interest at TD Insurance. Guide solutions across insurance.
This manager role leads actuaries and data scientists within TD’s Data & Analytics business. You will shape end-to-end machine learning solutions, support TDI Pricing stakeholders, and address traditional insurance problems. The work connects technical teams, business stakeholders, and Model Governance through scalable analytical frameworks and validation protocols.
Key Responsibilities: Lead actuaries and data scientists toward high-impact analytical solutions
Develop tailored solutions with TDI Pricing stakeholders
Drive machine learning solutions from formulation through deployment
Establish validation protocols with Model Governance teams
Oversee concurrent workstreams and timely solution delivery
Requirements: At least seven years of Property & Casualty actuarial experience
Bachelor’s degree in Actuarial Sciences or related field
Programming proficiency and interest, preferably in Python
Understanding of contemporary machine learning techniques in insurance
Advanced analytical, decision-making, and problem-solving skills
Bring actuarial leadership, machine learning expertise, and stakeholder communication to pricing analytics at TD Insurance in Montréal.