Description:
Guy Carpenter is seeking candidates for the following position based in Barangaroo, Sydney:
Catastrophe Modeller – Pacific Region
What can you expect?
As a Catastrophe Modeller within the Guy Carpenter Analytics team, you will play a crucial role in delivering analytics services to our clients across Australia and New Zealand. This is a unique opportunity to apply your analytical expertise to high-profile projects while developing your consulting, leadership, and project management skills. You will be collaborating with reinsurance teams to gather and prepare data, ensuring that our clients receive the best possible insights and support.
What is in it for you?
1. Exposure and involvement with a range of high profile clients
2. Professional environment where your career path really matters and is supported in our global organisation
3. Great team environment with energetic and supportive colleagues
We will count on you to:
4. Work as part of the Guy Carpenter Analytics team to deliver analytical services to clients and support reinsurance teams
5. Develop and maintain proprietary modelling tools for risk rating and direct pricing of natural perils, focusing on flood, hail, and storm perils
6. Review and prepare client exposure data for modelling within GC’s proprietary models
7. Utilise climate model outputs and integrate them with catastrophe risk models to inform adjustments and projections
8. Collaborate with actuarial teams to provide outputs and analytical analysis for clients and prospects
9. Partner with universities and external consultants to research natural perils risk and source datasets for model development
10. Conduct real-time reporting and analysis of natural disasters, providing support to clients post-event
11. Perform general administrative duties, ensuring adherence to compliance systems
What you need to have:
12. Tertiary qualification with Honours/Masters in Science or Engineering, with a strong preference for a background in atmospheric sciences or meteorology
13. Experience with programming languages, including R (preferred) and Python
14. 5 years previous experience in catastrophe modelling, actuarial science and pricing, specifically in insurance
15. Familiarity with database software, such as SQL Server or Microsoft Access, is beneficial
16. Intermediate Microsoft Excel skills
17. Strong problem-solving skills and a proactive attitude
18. Ability to organise and synthesise large datasets effectively
Are you ready to join?
Guy Carpenter & Company, LLC is a leading global risk and reinsurance specialist with more than 3,500 professionals in over 60 offices around the world. Guy Carpenter delivers a powerful combination of broking expertise, trusted strategic advisory services and industry-leading analytics
to help clients adapt to emerging opportunities and achieve profitable growth. Guy Carpenter is a business of Marsh McLennan (NYSE: MMC), the world’s leading professional services firm in the areas of risk, strategy and people. The company’s 85,000 colleagues advise clients in over 130 countries. With annualized revenue of over $23 billion, Marsh McLennan helps clients navigate an increasingly dynamic and complex environment through four market-leading companies including Marsh, Mercer and Oliver Wyman. For more information, visit www.guycarp.com and follow us on LinkedIn and X.
Marsh McLennan is committed to creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, 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.