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About the Role

As an Actuarial AI Regional Lead, you will work at the intersection of actuarial modeling and AI-enabled process transformation. You will partner closely with PathWise actuarial implementation teams and clients to champion adoption of AI and automation tools, shape new use cases, and embed improved ways of working into actuarial modeling, valuation, and pricing activities.

Responsibilities

• Act as the primary regional business champion for PathWise AI and automation tools, driving awareness, understanding, and effective usage.
• Redesign workflows (e.g., model build, valuation, pricing, assumption management, documentation) to leverage AI and automation capabilities.
• Develop and deliver regional demonstrations, walkthroughs, and training sessions on AI tools.
• Promote guidelines for appropriate and responsible use of AI tools in actuarial contexts.
• Proactively identify new opportunities to apply AI and automation across the PathWise lifecycle.
• Collaborate with teams and clients to translate business problems into AI use cases and feature requests.
• Prioritize and document regional enhancements and extensions to the AI toolset.
• Lead or support structured pilots and experiments for new AI features.
• Serve as a regional subject-matter expert on AI and automation for actuarial workflows.
• Work directly with client actuarial teams to design practical and adoptable AI-enabled solutions.
• Facilitate workshops with client and internal teams to co-design target-state workflows and rollout plans.
• Help manage expectations and change impacts by explaining capabilities, limitations, and controls of AI tools.
• Act as a key interface between regional actuarial end-users and core AI development teams.
• Provide domain-informed feedback on AI prototypes.
• Contribute to the definition of success criteria and evaluation metrics for AI features.
• Work with developers to translate user feedback into refined requirements, test cases, and acceptance criteria.
• Support adherence to Aon’s AI governance requirements.
• Help define and embed practical validation and review approaches for AI-assisted outputs.
• Contribute to documentation, playbooks, and guidance on standard AI-enabled workflows.
• Stay ahead of trends in GenAI, automation, and actuarial technology.
• Develop and share case studies, examples, and reusable materials illustrating successful AI-enabled use cases.
• Provide informal leadership and mentoring to colleagues on engaging with AI tools.
• Represent the region’s needs and perspectives in global PathWise AI forums.

Requirements

• Applicants must be legally authorized to work in Canada.
• This role is not eligible for sponsorship, and we are unable to sponsor or take over sponsorship of an employment visa or work permit.
• Bachelor’s degree in Actuarial Science, Mathematics, Statistics, Finance, Computer Science, Engineering, or a related quantitative field (or equivalent practical experience).
• Significant experience (typically 5+ years) in actuarial modeling, valuation, pricing, or risk management within life insurance or related financial services.
• Familiarity with GenAI or automation tools applied in a professional context.
• Demonstrable ability to partner with implementation or technology teams to design and implement new or improved actuarial processes or tooling.
• Demonstrate ability to understand complex actuarial workflows end-to-end and to identify bottlenecks, manual problems, and opportunities for automation or standardization.
• Good communication skills, with experience explaining technical concepts and model behavior to various audiences.
• Experience leading workshops, training, or change-management activities related to new tools or processes.
• Solid understanding of governance, controls, and documentation expectations for actuarial models and reporting processes.
• Previous involvement in projects that introduced new modeling platforms, tooling, or methodologies to actuarial teams (preferred).
• Comfort working with technical AI/ML or software engineering teams and ability to read or reason about technical specifications and user stories (preferred).

Skills

• GenAI
• Automation tools
• Actuarial modeling
• Valuation
• Pricing
• Risk management
• Workflow automation
• AI-assisted analysis
• Communication skills
• Technical concept explanation
• Workshop facilitation
• Training delivery
• Change management
• Governance
• Controls
• Documentation
• AI/ML
• Software engineering

Location

• Toronto

Work Type

• New position
• Full-time

Experience Level

• 5+ years

Education Level

• Bachelor’s degree

Salary/Compensations

• $125,000 CAD - $175,000 CAD

Benefits

• Generous incentive earning opportunity
• Comprehensive benefits package
• Two “Global Wellbeing Days” each year
• Agile environment for wellbeing and work/life balance
• Continuous learning culture

About the Company

• Aon is in the business of better decisions.
• At Aon, we shape decisions for the better to protect and enrich the lives of people around the world.
• As an organization, we are united through trust as one inclusive team and we are passionate about helping our colleagues and clients succeed.
• We are making a significant investment in automation and AI capabilities within PathWise, Aon’s high performance actuarial modeling platform.
• PathWise enables insurers and other financial institutions to model complex financial obligations with minimal coding, employing GPU technology for industry leading performance.

Equal Opportunity

• Aon values an innovative and inclusive workplace where all colleagues feel empowered to be their authentic selves.
• Aon is proud to be an equal opportunity workplace.
• We are committed to providing equal employment opportunities and fostering an inclusive workplace.
• If you require accommodations during the application or interview process, please let us know.
• We will work with you to meet your needs and ensure a fair and equitable experience.