Catastrophe Modeller
1 week ago
**Catastrophe Modeller - Southeast Asia and Korea (SEAK)**
**What can you expect?**
- An exciting opportunity has become available for a Catastrophe Modeler to join the Guy Carpenter Analytics team in Singapore. You will be responsible for delivering analytics services to clients and providing support to the reinsurance teams in gathering and preparing data for assigned client projects
**What is in it for you?**
- Exposure and involvement with a range of high profile clients
- Purpose-driven work where we partner with client organizations as their strategic advisor to help them meet the challenges of our time
- World-class development opportunities to achieve your full potential
- An inclusive work environment where diversity of skill, thought and insight fuels long-term growth
- Great team environment with energetic and supportive colleagues
**We will count on you to**:
- Work as part of the Guy Carpenter Analytics team on delivering analytical services to clients across Southeast Asia and Korea, providing support to reinsurance teams
- Utilize catastrophe models and in-house models to generate outputs, with appropriate interpretation of results
- Work with actuarial teams to provide outputs and analytical analysis for clients and prospects
- Development and maintenance of proprietary modelling tools to support risk rating and direct pricing of natural perils
- Utilize climate model outputs and integrate these with catastrophe risk models to inform model adjustments and projections
- Real-time reporting and analysis of natural disasters and providing support to clients post event
- Perform general administrative duties including adherence to compliance systems
**What you need to have**:
- Bachelor's/Master's qualification in Natural Sciences, Engineering, Mathematics or Statistics
- Prior experience in catastrophe modelling for insurance, reinsurance or other natural catastrophe risk modelling or risk assessment
- Good problem solving skills and proactive aptitude
- Ability to organize and synthesize large datasets
- Experience with programming languages including R and Python would be beneficial
- Experience with database software including SQL server would be an advantage
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