Join Our Team
We are seeking a Graduate Exposure Management Analyst to join our London-based Exposure Management function. This role is designed for recent graduates who are keen to build a career in risk, data and analytics within a global (re)insurance business.
You will work closely with the Global Head of Exposure Management and experienced analysts, learning how exposure frameworks are designed, maintained and reported across the SiriusPoint Group. This position offers structured development, hands-on learning and exposure to senior stakeholders, with full training provided.
Your responsibilities will include the following:
- Support the delivery of high-quality exposure data and reporting for the Group’s largest accumulation risks, including both natural catastrophe and non-natural catastrophe exposures.
- Assist in preparing exposure management reports for internal forums, committees and senior management.
- Help provide data-driven insights and analytics at individual risk and portfolio level.
- Learn how to monitor accumulation risk against Group and legal entity limits and thresholds.
- Support research into emerging risks and assist in developing tools and processes to measure and manage these as they evolve.
- Contribute to the documentation and continuous improvement of exposure management policies, procedures and processes.
- Work alongside underwriting, modelling and risk teams to understand risk versus return and the role of reinsurance optimisation.
- Support ad-hoc projects and other reasonable duties as part of a broader learning experience.
Skills and Experience
This role is suited to graduates or early-career professionals. Prior insurance experience is not required.
You should have:
- A degree (completed or due to be completed) in a numerate or analytical discipline such as Mathematics, Statistics, Engineering, Economics, Data Science, Actuarial Science, Geography, or a related subject.
- Strong analytical and quantitative skills, with an ability to interpret data and identify trends and insights.
- A genuine interest in risk management, insurance and reinsurance.
- High attention to detail with a focus on accuracy and quality.
- Good organisation and time-management skills, with the ability to work on multiple tasks simultaneously.
- Strong communication skills and the confidence to collaborate with a range of stakeholders.
- A proactive, curious mindset and willingness to learn in a fast-moving environment.
Desirable (but not essential):
- Experience with analytical or data tools such as Excel, SQL, Python, R or similar through academic projects or placements.
- Exposure to data analysis, modelling or coding as part of your studies.
- An introductory understanding of insurance, risk or catastrophe modelling.
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