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Catastrophe Risk Management Specialist

1 week ago

Mumbai, Maharashtra, India Marsh McLennan Full time

About the Role

We are seeking a talented individual to join our Global Analytics & Advisory (GAA) team at Marsh McLennan. This role will be based in Mumbai, with a requirement of working at least three days a week in the office.

This is a hybrid role that has a requirement of working at least three days a week in the office. As a Lead Specialist/Deputy Manager - Catastrophe Risk Management, you will play a key role in helping clients better understand their overall exposure to catastrophe risk relating to political violence and allow them to plan accordingly.

The nature of the peril, which is dynamic, and in-house models, which are evolving requires the analyst to be an innovative developer. You will work on producing loss estimates that enable brokers to construct effective reinsurance programs for clients.

Key Responsibilities:

  • Analyse client exposure data, apply it against in-house and/or vendor models, and support trainee analysts in producing loss estimates.
  • Document, justify, and communicate assumptions made before performing analyses, produce reports that highlight changes in exposure across various timeframes, and the associated impact of catastrophe model results.
  • Run the exposure in in-house and/or vendor models and report the results at various geographical resolutions as well as for the relevant lines of business within the client's portfolio.
  • Analyse how the distribution of results and relevant risk measures change due to the application of various proposed reinsurance alternatives and/or changes in model/data assumptions.

Requirements

  • Degree in Mathematics/Statistics/Computer Science/Engineering (any stream) or related fields.
  • 4+ years of experience in Catastrophe Modeling in providing CAT analytics at account or portfolio level.
  • Basics of Insurance/Reinsurance/Catastrophe Modeling.
  • Knowledge on basics of Insurance/Reinsurance and Catastrophe Modeling.
  • Proficiency in at least one of the CAT Modeling softwares RMS/AIR/RQE.