Lead Specialist - Actuarial
Mumbai - Hiranandani, India
Marsh McLennan
Marsh McLennan is the world’s leading professional services firm in risk, strategy and people. We bring together experts from across our four global businesses — Marsh, Guy Carpenter, Mercer and Oliver Wyman — to help make organizations more...Company:
MarshDescription:
We are seeking a talented individual to join our Actuarial team at Marsh Mc Lennan. 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
Business Title : Lead Specialist - Actuarial
No. Of Roles: 1
Location: Mumbai
Last Date to Apply : 18th June
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
Eligibility
- Minimum 12 months experience as Senior Specialist (C2) / Lead Specialist (D1)
- Should have at least “On-Track” or equivalent rating in last appraisal.
- Should not be under any Performance Counselling Plan or had any official disciplinary action within the last 3 months.
- Should not have applied for any other IJP in the last 3 months
Disclaimer
- Please note that the relocation assistance shall not be provided for the said position
- Candidates who wish to apply for inter-location positions are required to check with the Transport Help Desk (THD) to confirm if their place of residence is within the served transport service zone
- Mention your employee id and official email address in the resume
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Consulting Data analysis Power BI Python R Research Statistical modeling Statistics
Perks/benefits: Career development Flex hours Relocation support Team events
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