Job Description

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.