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About the Role

Serve as a trusted, client-facing technical resource who can bridge disciplines and support clients across a broad spectrum of needs, providing technical leadership in modelling, product capabilities, platform, and infrastructure. Improve responsiveness, strengthen technical ownership, and ensure clients receive coordinated support.

Responsibilities

• Serve as a trusted technical point of contact for clients, understand the full context of their needs, provide practical guidance, and coordinate support across modelling, product, engineering, infrastructure and implementation teams.
• Help clients build, implement, validate, fix and optimise actuarial and quantitative models in PathWise.
• Translate business and modelling requirements into practical solution approaches.
• Develop broad knowledge of PathWise capabilities, workflows, configuration and use cases.
• Answer product questions, recommend effective approaches, and identify when a specialist should be engaged.
• Support discussions involving deployment architecture, cloud and on-premises environments, GPUs, high-performance computing, performance, scalability, security, configuration and operational readiness.
• Partner with infrastructure and engineering specialists where deeper analysis is needed.
• Work closely with clients to understand their business challenges and build tailored PathWise solutions and proof-of-concept models that demonstrate business value and platform capabilities.
• Partner with sales and account teams to deliver product demonstrations, technical presentations and solution workshops.
• Confidently respond to detailed questions from actuaries, quantitative analysts, technology leaders and other collaborators.
• Analyse client implementations and guide the refactoring and optimisation of models and workflows to take advantage of PathWise performance, including GPU-enabled processing.
• Act as a main point of coordination for complex client issues involving financial or actuarial models, product behaviour, system performance, configuration or environment dependencies.
• Assess what can be resolved directly and involve the right SME promptly when needed.
• Lead technical onboarding, training and knowledge transfer so that client teams can adopt, operate and extend PathWise successfully.
• Bring together the appropriate specialists, establish clear ownership, communicate progress and maintain continuity from initial request through resolution.
• Reduce hand-offs and prevent clients from having to coordinate across multiple teams.
• Represent the client perspective internally.
• Gather structured feedback and work with product management, development and service teams to influence priorities and improve the end-to-end client experience.

Requirements

• Applicants must be legally authorised 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 or equivalent experience in an analytical field such as actuarial science, engineering, mathematical finance, mathematics, physics, statistics or computer science.
• More than 8 years of experience in quantitative analysis, actuarial modelling, data science, financial modelling, technical consulting, solutions engineering or a related client-facing technical role.
• Demonstrated ability to work across modelling, software products, platform architecture and infrastructure topics, with the judgement to distinguish between issues that can be addressed directly and those requiring specialist expertise.
• Experience discovering client needs, framing ambiguous problems, recommending practical solutions, and communicating technical trade-offs, risks and next steps to business and technical audiences.
• Solid understanding of statistical methods, quantitative analysis and Monte Carlo simulation, together with experience applying these techniques to real business problems.
• Strong programming skills in Python.
• Strong diagnostic skills and a structured approach to resolving complex issues across models, software configuration, performance and technical environments.
• Ability to maintain end-to-end ownership while coordinating other experts.
• Outstanding written and verbal communication skills, including capacity to explain sophisticated topics in quantitative finance, actuarial modelling, software and parallel computing to varied audiences.
• Ability to build trusted relationships with clients and work effectively across sales, product management, engineering, infrastructure, implementation and support teams.
• Curiosity and the ability to rapidly build working knowledge in unfamiliar areas, ask effective questions and navigate a broad technical ecosystem.

Skills

• Python
• C#
• C++
• Statistical methods
• Quantitative analysis
• Monte Carlo simulation
• Cloud platforms
• Deployment architectures
• Networking
• Security
• Observability
• Environment configuration
• Containers
• Virtual machines
• Operational support concepts
• HPC architecture
• GPGPU concepts
• Parallel processing frameworks (CUDA, OpenCL, OpenMP)
• PathWise
• AXIS
• Prophet
• RiskAgility

Location

• Canada

Work Type

• Hybrid

Experience Level

• More than 8 years

Education Level

• Bachelor's degree
• Master's degree
• PhD

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 organisation, we are united through trust as one inclusive team and are passionate about helping our colleagues and clients succeed.