Actuarial Analyst II

Pay Details

78,600 CAD – 110,000 CAD. This role is temporarily eligible for a pay premium above the posted salary range that is reassessed annually. You are encouraged to have an open dialogue with your recruiter who can provide more specific pay details for this role. TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience  compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role.

The base pay actually offered may vary based upon the candidate's skills and experience, job‑related knowledge, geographic location, and other specific business and organizational needs.

Toronto, Ontario, Canada

37.5 hours per week

Data & Analytics

Do you want to dive into the intersection of fairness and Artificial Intelligence / Machine Learning (AI/ML)? Do you believe AI/ML models should be explainable, transparent, and trustworthy? Are you passionate about technology, ethics, and Responsible AI? If so, then this is a job for you.

As the backbone of our financial system, financial institutions have rich large‑scale datasets and are rapidly adopting models to improve customer experience and drive business performance, including AI and machine learning. While models are increasingly pervasive across society, many outstanding questions and challenges must be answered to ensure that model outcomes are fair and transparent. In this position, you will play a key role in ensuring the appropriate application of models and positioning TD as an industry leader in Responsible and Ethical AI.

This position reports to the Senior Manager, Compliance Oversight of Models Office. Detailed accountabilities include:

• Review models across TD Insurance and build a close working relationship with business units across the Enterprise. Objectives include:
  • Supporting compliance risk management associated with models used by TD Insurance
  • Supporting the business in monitoring regulatory compliance and risk mitigation throughout the model life cycles.
  • Identifying and clearly communicating compliance model risks arising from model design, implementation and deployment decisions to a broad audience of stakeholders.
• Represent Compliance in major projects, initiatives, and engagements
• Evaluate model development procedures and practices
• Opportunities to support the development of technical standards and guidelines covering model compliance risk matters, and draft key compliance documents in appropriate coordination with stakeholders.
• Develop training materials and guidelines to help businesses address regulatory compliance throughout the model lifecycle.
• Opportunities to support research on how to identify, assess, and address modeling risks and associated concerns
• Maintain up-to-date knowledge of techniques and developments in the field of advanced modeling and share knowledge with business partners and senior management.
• Provide guidance and oversight for AI/ML systems across the organization.
• Assist with responses to regulatory inquiries, examinations and investigations as applicable.

The successful candidate will join the Compliance Oversight of Models Office (COMO), an interdisciplinary team that sits at the intersection of AI/ML regulatory understanding and ethics. COMO is responsible for the global compliance oversight of models from a regulatory compliance perspective. COMO's oversight spans the entire model lifecycle and includes engagement with disparate model stakeholders. The COMO mandate includes but is not limited to:

• Assessing models for regulatory compliance risk;
• Providing oversight and independent challenge to approaches used to identify, assess, and address regulatory compliance risk; and
• Supporting the business in monitoring regulatory compliance and removing or mitigating risk throughout the model lifecycle.

COMO embraces a multidisciplinary approach, celebrating alternative and multi‑faced perspectives that are needed to ensure AI is…