Validate insurance models in Toronto with TD, applying actuarial methodology, machine learning, and artificial intelligence modeling expertise. This position supports Enterprise Risk.
As a Data Scientist I, you will independently validate TDI insurance models and test FCRM models under management supervision. You will communicate limitations, prepare validation reports, and develop testing programs for advanced AI and ML models. The work supports business initiatives, regulators, and audit review.
Key Responsibilities:
- Conduct independent validation for varied TDI insurance models
- Test and analyze FCRM models under supervision
- Discuss model limitations with first-line stakeholders
- Deliver justified validation reports for audit and regulators
- Develop programs assessing advanced AI and ML models
Requirements:
- Degree in actuarial science, statistics, AI/ML, or financial engineering
- FSA, ACAS, or ACIA designation
- In-depth ML/AI modeling and programming knowledge
- Strong verbal, written, time, and project management skills
- Insurance pricing or validation experience is an asset
Apply actuarial, machine learning, and insurance validation expertise to strengthen TD's model risk oversight in Toronto.
Insurance Model Validation Data Scientist in Toronto employer: TD Bank
TD Bank is an exceptional employer that fosters a collaborative and inclusive work culture in the heart of Toronto. With a strong commitment to employee growth, we offer comprehensive training programs and career advancement opportunities, ensuring that our team members thrive in their roles. Join us to be part of a dynamic environment where your contributions directly impact the future of banking and financial services.
