Catastrophe Risk Management Professional

We are looking for a talented and dynamic individual to join our Catastrophe Modelling team at Guy Carpenter. This role is based in Mumbai. This is a hybrid role that has a requirement of working at least two days a week in the office.

We will count on you to:

• Be the Single point of contact for a specific region or product or line of business
• Needs to manage large/complex clients with ability to understand all the intricacies of the client requirements
• Conduct checks and edits on client-supplied data. Produce a detailed exposure profiling. Run catastrophe analyses using (not limited to) RMS, AIR and RQE / commercially available vendor models to estimate potential cat losses
• Develop in-depth knowledge of the models and manage model uncertainties
• Provide modelled loss outputs in various forms. Interpret and explain modeling results to colleagues, brokers, clients, reinsurers and other parties
• Maintain a regular stakeholder interaction & develop relationship with analysts and consultants for constant flow of information on status, exceptions, expectations, forecasts, process changes and new opportunities
• Independently, communicates with brokers and clients to build strong understanding about the clients reinsurance buying philosophy and is considered SPOC for the client
• Be a team player collaborate effectively with the team by setting standards for performance and motivating to achieve beyond these standards
• Be a technical SPOC for the analysts and also perform the robust two stage review process
• Have a view and information on the skills and knowledge gaps of team and plan for training, cross skilling and up skilling of all team members for current and future needs
• Plan and implement engagement and retention initiatives (including rewards)

What you need to have:

• 5+ years of experience in Catastrophe Modeling / Risk management

What makes you stand out?

• Strong academic rigor with degree in Engineering, Mathematics/Statistics or related fields from reputed institution
• Strong knowledge of stochastic modeling, SQL and geospatial mapping tools like ArcGIS will be highly advantageous.