Apply actuarial methodology and AI/ML modeling as a Data Scientist I with TD's Model Validation group in Toronto, Ontario. Validate insurance models independently.
Reporting to the Senior Manager, Insurance Model Validation, this position supports Enterprise Risk and Risk Management. You will test TDI insurance and FCRM models, develop validation tools, and communicate findings with stakeholders. The work supports business initiatives, regulators, Audit review, and TD's model risk policy.
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 reports supporting conclusions and regulatory review
- Develop tools assessing advanced AI/ML models
Requirements:
- Degree in actuarial science, statistics, AI/ML, or financial engineering
- FSA, ACAS, or ACIA designation
- In-depth AI/ML modeling and programming knowledge
- Excellent communication, project management, and multitasking skills
- Ability to work with minimal supervision
Use AI/ML modeling, actuarial knowledge, and validation analysis to support TD's insurance model governance in Toronto.
Insurance Model Validation Data Scientist in Toronto employer: TD
TD Securities is an exceptional employer located in Toronto, Ontario, offering a dynamic work environment that prioritizes innovation and professional growth. With a strong commitment to employee development, competitive compensation, and a comprehensive benefits package, TD fosters a culture of collaboration and inclusivity, empowering colleagues to thrive both personally and professionally. Join a forward-thinking team where your contributions are valued, and you can make a meaningful impact in the capital markets sector.
