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Graduate Exposure Management Analyst

3 weeks ago
United Kingdom
Full-time
Entry Level
Operations Analyst
Data Science and Analytics
Python R SQL Statistics
Apply Now
SiriusPoint

SiriusPoint

SiriusPoint Ltd. is a global insurer and reinsurer with $2.9 billion in total capital. We offer insurance solutions across sectors, partnering with program administrators and managing general agents worldwide.

Insurance
251-1K
Founded 1945
View All Jobs 8

Description

  • Support the delivery of exposure data and reporting for the Group’s largest accumulation risks, including natural catastrophe and non-natural catastrophe exposures.
  • Assist in preparing exposure management reports for internal forums, committees, and senior management.
  • Provide data-driven insights and analytics at both individual risk and portfolio level.
  • Monitor accumulation risk against Group and legal entity limits and thresholds.
  • Support research into emerging risks and help develop tools and processes to measure and manage them.
  • Contribute to the documentation and continuous improvement of exposure management policies, procedures, and processes.
  • Work with underwriting, modelling, and risk teams to understand risk versus return and reinsurance optimisation.
  • Support ad hoc projects and other reasonable duties as part of the role.
  • Learn how exposure frameworks are designed, maintained, and reported across the SiriusPoint Group.

Requirements

  • A completed or soon-to-be-completed degree 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 the 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 manage multiple tasks simultaneously.
  • Strong communication skills and confidence collaborating with a range of stakeholders.
  • A proactive, curious mindset and willingness to learn in a fast-moving environment.
  • Prior insurance experience is not required.
  • Experience with Excel, SQL, Python, R, or similar tools through academic projects or placements is desirable.
  • Exposure to data analysis, modelling, or coding during studies is desirable.
  • An introductory understanding of insurance, risk, or catastrophe modelling is desirable.
  • Must not require current visa sponsorship, as the employer is unable to sponsor or take over sponsorship at this time.

Benefits

  • Structured development with full training provided.
  • Hands-on learning in a London-based Exposure Management function.
  • Exposure to senior stakeholders and experienced analysts.
  • Opportunity to build a career in risk, data, and analytics within a global (re)insurance business.
  • Supportive, collaborative, and purposeful working environment.
  • Opportunity to work across underwriting, modelling, and risk teams.
  • Commitment to diversity, inclusion, and allyship across the global workforce.

Interested in this position?

Apply directly on the company website

Apply Now

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