Lead Specialist - Risk Consulting

Company:

Marsh

Description:

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 Consuting (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: 

• 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.

Why join our team:

• We help you be your best through professional development opportunities, interesting work and supportive leaders.
• We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
• Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, caste, disability, ethnic origin, family duties, gender orientation or expression, gender reassignment, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one “anchor day” per week on which their full team will be together in person.