We are seeking a talented individual to join our Climate Modelling team at Marsh McLennan. This role will be based in Mumbai. This is a hybrid role that has a requirement of working at least three days a week in the office.
Lead Specialist - Risk Consulting (Climate Risk)
The lead specialist will be part of the Climate Risk Center of Excellence and will be instrumental in the delivery of climate-related analytics projects to clients.
We will count on you to:
- Deliver internal and client-facing climate modelling projects within the APAC region.
- Contribute to the interpretation of catastrophic events within the framework of climate variability.
- Conduct data analysis and statistical modeling of climate trends and signals related to long-term climate change, ensuring accurate documentation of methodologies and results for a diverse range of audiences.
- Help organizations of all shapes and sizes access and benefit from climate risk analysis in a way relevant to their businesses.
- Work collaboratively in multi-disciplinary teams of engineers, actuaries, and catastrophe modelers.





What you need to have:
- Masters degree + 2 years of work experience in the area climate modelling and/or climate risk or Ph.D., in climate risk and/or climate modelling.
- Advanced knowledge of current climate science research, the physical processes of climate change, global climate models, and methodologies related to CMIP, downscaling, and bias correction, including ability to work with NetCDF / raw climate data from ECMWF / reanalysis data.
- Demonstrated experience in integrating statistical methods with climate physical data to effectively address uncertainty.
- Proficiency in coding, particularly in R, Python, or any scripting language, is highly advantageous along with experience in RShiny or PowerBI for front end applications.
- Experience in spatial data analysis and presentation.
- An understanding of climate scenarios especially IPCC and NGFS would be considered a plus as woul

📌 Lead Specialist (Mumbai)
🏢 Mercer
📍 Mumbai