Strategic Client Tech Lead, PathWise Modelling

AON

Greater London

Hybrid

GBP 110,000 - 150,000

Full time

6 days ago
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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

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.

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