Actuarial Data Scientist – P&C Analytics (Montréal)

Meloche Monnex Inc.

Montreal (administrative region)

On-site

CAD 85,000 - 110,000

Full time

2 days ago
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Job summary

TD Insurance, part of TD Bank Group, in Montréal, Quebec, is seeking an actuarial data scientist to develop and maintain sophisticated predictive models for Property & Casualty insurance, applying advanced statistics and machine learning.

You will collaborate with Pricing to translate business needs into actionable insights, ensure governance and documentation, write clean scalable Python code, monitor model performance, and present results to technical and senior audiences while meeting

Qualifications

  • At least 2 years of actuarial experience in Property & Casualty insurance.
  • Bachelor degree in Actuarial Sciences or related field.
  • Strong programming interest, preferably Python.
  • Knowledge of modern ML techniques and their practical applications in insurance.
  • Excellent time management and ability to meet deadlines.
  • Strong communication skills to present complex concepts to diverse audiences.

Responsibilities

  • Develop and maintain actuarial predictive models using advanced statistics and ML.
  • Collaborate with Pricing teams to understand requirements and present findings to stakeholders.
  • Support model governance 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 modeling
Python
Data analysis
Communication skills
Teamwork
Time management

Education

Bachelor's degree in Actuarial Sciences

Tools

Python
Cloud basics

Job description

TD Insurance, part of TD Bank Group, in Montréal, Quebec, is seeking an actuarial data scientist to develop and maintain sophisticated predictive models for Property & Casualty insurance, applying advanced statistics and machine learning.

You will collaborate with Pricing to translate business needs into actionable insights, ensure governance and documentation, write clean scalable Python code, monitor model performance, and present results to technical and senior audiences while meeting

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