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The Exposure Analyst joins our client’s risk and data analytics team to support the delivery of catastrophe modelling, portfolio analytics, and exposure management activities. The role plays a key part in assisting underwriting decisions through technical analysis and close collaboration with modelling outputs. Success is measured by the quality of insights provided and the ability to work effectively within a highly automated and technology-driven environment.
Role Overview
The role reports to the hiring manager and works closely with the Exposure Management and Underwriting teams. The analyst will be responsible for supporting catastrophe and non-catastrophe exposure analysis, assisting in portfolio impact assessments, and contributing to the development of modelling workflows. Engaging with data analytics tools such as Verisk AIR Touchstone and proprietary platforms like Graphene, the role requires a proactive, results-oriented individual with strong technical skills.
Key Skills & Experience
- Support the delivery of catastrophe modelling, portfolio analytics, and regulatory reporting activities.
- Work closely with modelling outputs and data analytics to provide insights for underwriting decisions.
- Analyse portfolio exposures and assess the impact of new business using tools such as Verisk AIR Touchstone.
- Assist with data validation, quality assurance, and exposure controls.
- Maintain documentation of methodologies, assumptions, processes, and model settings.
- Contribute to the development and optimisation of catastrophe modelling workflows.
- Ideally 2–3 years' experience in a similar exposure management or catastrophe modelling role.
- London Market exposure management background.
- Experience with Delegated Authority business preferred.
- Basic SQL skills desirable.
- Strong analytical skills with experience working with large datasets.
- Experience within the London Insurance Market.
- Demonstrable communication and stakeholder management skills.
- Ability to communicate technical findings effectively to technical and non-technical audiences.
- Basic coding knowledge such as Python or SQL is advantageous.
- Must have the right to work in the UK.
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