Client Technical Solutions Lead, PathWise

Aon Corporation • Montreal, QC

1d • Hybrid

About The Position

Aon is seeking a Client Technical Solutions Lead for the PathWise group. In this client-facing role, you will provide technical leadership spanning modelling, product capabilities, platform and infrastructure topics, and broader solution mentorship. You will work alongside actuaries, quantitative analysts, engineers, product specialists and technology experts to help clients achieve successful outcomes with PathWise. The vision for this role is to create a trusted, client-facing technical resource who can bridge disciplines and support clients across a broad spectrum of needs. The successful candidate will have broad knowledge of the PathWise ecosystem. They will understand client needs and provide meaningful support directly. They will also quickly identify and contact the right authority when deeper expertise is needed. This role will improve responsiveness, strengthen technical ownership and ensure clients receive coordinated support without having to navigate multiple internal teams themselves. You will remain accountable for driving the issue or opportunity to the right outcome, even when specialist support is required.

Requirements

• 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.

Nice To Haves

• Master’s degree or PhD in a quantitative field.
• Five or more years working in insurance, reinsurance or capital markets, with exposure to complex actuarial or financial models.
• Strong understanding of the mathematical and theoretical principles underlying actuarial science and common insurance modelling use cases.
• Sound understanding of stochastic processes, derivative pricing and other mathematical concepts underpinning quantitative finance.
• Knowledge of cloud platforms, deployment architectures, networking, security, observability, environment configuration, containers, virtual machines and operational support concepts.
• Understanding of HPC architecture, GPGPU concepts and parallel processing frameworks such as CUDA, OpenCL or OpenMP.
• Progress towards or completion of an actuarial designation such as ASA or FSA, or a financial designation such as CFA or FRM, or comparable experience.
• Direct experience with PathWise or other actuarial modelling software such as AXIS, Prophet or RiskAgility.
• Experience delivering demonstrations, workshops, proofs of concept, client training or technical enablement.
• Experience with C# or C++.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior