Client Technical Solutions Lead, PathWise

AON; Greater London; Hybrid; GBP 110,000 - 150,000; Full time

Job summary

Aon is seeking a Client Technical Solutions Lead for PathWise in a hybrid role based in London. You will provide technical leadership across modelling, product capabilities, platform and infrastructure, coordinating with actuaries, engineers and product specialists to deliver client-focused PathWise solutions.

You will design, implement and optimise actuarial and quantitative models, partner with sales for pre-sales support and ensure scalable, high-performance deployments.

Qualifications

• Bachelor's degree in quantitative discipline or equivalent experience.
• 8+ years of quantitative analysis, actuarial modelling, data science or related client-facing technical role.
• Ability to work across modelling, software products, platform architecture and infrastructure.
• Strong programming and problem-solving skills with clear communication.

Responsibilities

• Provide trusted technical leadership across modelling, product capabilities, platform and infrastructure topics.
• Help clients design, implement, validate, troubleshoot and optimise actuarial and quantitative models in PathWise.
• Develop knowledge of PathWise capabilities and engage specialists when needed.
• Support deployment architecture discussions, cloud and on-prem environments, GPUs and HPC.
• Lead technical onboarding, training and knowledge transfer for client teams.

Skills

Quant foundation

Client-facing

Python

C++

C#

Communication

Learning agility

Collaboration

Troubleshooting

Monte Carlo

Actuarial modelling

Education

Bachelor's degree

Tools

Python

C++

C#

Job description

Client Technical Solutions Lead, PathWise

Ready to help shape the future of actuarial modelling and quantitative analytics? Passionate about solving complex client challenges by connecting business needs, modelling expertise and technology?

Join Aon as a Client Technical Solutions Lead for PathWise. In this client-facing role, you will provide well-rounded technical leadership across modelling, product capabilities, platform and infrastructure topics, and broader solution guidance. You will work alongside actuaries, quantitative analysts, engineers, product specialists and technology experts to help clients achieve successful outcomes with PathWise.

This is a hybrid position with flexibility to work from home and our Head Offices in London

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.

What the day will look like

• Client technical leadership: 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.
• Modelling and solution support: Help clients design, implement, validate, troubleshoot and optimise actuarial and quantitative models in PathWise. Translate business and modelling requirements into practical solution approaches.
• Product subject matter expertise: Develop broad knowledge of PathWise capabilities, workflows, configuration and use cases. Answer product questions, recommend appropriate approaches, and identify when a specialist should be engaged.
• Platform and infrastructure guidance: 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.
• Solution building and proofs of concept: 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.
• Technical pre-sales support: Partner with sales and account teams to deliver product demonstrations, technical presentations and solution workshops. Respond credibly to detailed questions from actuaries, quantitative analysts, technology leaders and other stakeholders.
• Performance optimisation: Analyse client implementations and guide the refactoring and optimisation of models and workflows to take advantage of PathWise performance, including GPU-enabled processing.
• Advanced technical support: Act as a primary point of coordination for complex client issues involving financial or actuarial models, product behaviour, system performance, configuration or environment dependencies. Diagnose what can be resolved directly and engage the right SME promptly when needed.
• Client onboarding and enablement: Lead technical onboarding, training and knowledge transfer so that client teams can adopt, operate and extend PathWise successfully.
• Cross-functional orchestration: 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.
• Customer advocacy: 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.

How this opportunity is different

This is a broad technical leadership role at the intersection of actuarial modelling, quantitative finance, product expertise, client delivery and technology. You will not be limited to a single discipline. Instead, you will provide the connective tissue across the PathWise ecosystem, helping clients move efficiently from question to answer and from challenge to outcome. You will work with sophisticated GPU-powered technology and collaborate with experts across actuarial, finance, product, engineering and infrastructure teams.

Skills and experience that will lead to success

• Quantitative foundation: Bachelor’s degree or equivalent experience in an analytical discipline such as actuarial science, engineering, mathematical finance, mathematics, physics, statistics or computer science.
• Relevant experience: 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.
• Breadth across disciplines: 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.
• Client-facing technical consulting: Experience discovering client needs, framing ambiguous problems, recommending practical solutions, and communicating technical trade-offs, risks and next steps to business and technical audiences.
• Modelling and quantitative analysis: Strong knowledge of statistical methods, quantitative analysis and Monte Carlo simulation, together with experience applying these techniques to real business problems.
• Programming proficiency: Strong programming skills in Python. Experience with C# or C++ is an asset.
• Troubleshooting and problem ownership: 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.
• Communication and influence: Exceptional written and verbal communication skills, including the ability to explain sophisticated topics in quantitative finance, actuarial modelling, software and parallel computing to varied audiences.
• Collaboration: Ability to build trusted relationships with clients and work effectively across sales, product management, engineering, infrastructure, implementation and support teams.
• Learning agility: Curiosity and the ability to rapidly build working knowledge in unfamiliar areas, ask effective questions and navigate a broad technical ecosystem.

Nice to have

• Advanced quantitative education: Master’s degree or PhD in a quantitative field.
• Insurance and capital markets experience: Five or more years of experience in insurance, reinsurance or capital markets, with exposure to complex actuarial or financial models.
• Actuarial domain knowledge: Strong understanding of the mathematical and theoretical principles underlying actuarial science and common insurance modelling use cases.

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