Lead Specialist - Risk Consulting

• 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:

• Master s 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 would experience with econometric modeling.
• Ability to interact effectively with a diverse team and provide client focused insights.
• Exposure to consulting projects would be considered prefential

What makes you stand out

• Concepts of climate science including GCMs / RCMs and downscaling approaches.
• Basic concepts of statistics.
• Knowledge about current updates in the domain of climate risk analysis and impact of climate change in at least 2-3 sectors.
• Ability to communicate complex ideas effectively.
• Learnings from previous work experiences/academic projects. The candidate is expected to have clarity on their current career position and goals for 2-3 years.