Marsh India Knowledge Service is seeking a skilled qualified to join our Property Risk Consulting team, based in Mumbai or Gurugram. This hybrid role requires a minimum of three days per week working onsite / in the office.

As a part of the Marsh Risk Consulting team in Knowledge Services function, we are seeking a professional to support a broad spectrum of projects for the Property Risk Consulting, Pacific team. The selected candidate would help in identification, quantification and management of property / physical assets related risks.

The services offered by this practice are focused on risk engineering / risk management, including the use of property / infrastructure engineering fundamentals and natural catastrophe loss modelling analysis to support risk analysis and risk action planning activities.

We will count on you to:

Prepare detailed and accurate property risk survey proposals using standardised templates, including initial drafts and coordination of survey fee calculations.
Scope survey work precisely by liaising with clients and brokers, organising site visits,



coordinating field logistics, and managing project documentation.
Support the Natural Catastrophe (NATCAT) team by assisting with modelling efforts, developing concise research summaries, and integrating data with GIS tools.
Develop and maintain analytics tools and standardised templates, e.g. Maximum Foreseeable Loss (MFL) study tools, to improve assessment accuracy and reporting efficiency.
Manage administrative follow-up on Opportunities for Improvement (OFIs) by coordinating with clients to monitor progress at individual sites.
Identify and address team development needs by compiling training materials, facilitating knowledge sharing, conducting research by preparing summary reports, and enhancing resources with visual aids.
Strictly adhere to all established Property Risk Consulting standard operating procedures to maintain compliance, quality assurance, and operational excellence t

📌 Lead Specialist (Mumbai)
🏢 Marsh Risk
📍 Mumbai