At a Glance
- Tasks: Develop and enhance models to assess tropical cyclone risks and support catastrophe assessments.
- Company: Join Moody's, a global leader in risk assessment and innovative solutions.
- Benefits: Inclusive culture, competitive salary, and opportunities for professional growth.
- Other info: Collaborate in a dynamic team focused on cutting-edge research and analytics.
- Why this job: Make a real impact on climate risk modelling and advance your skills in AI.
- Qualifications: PhD or MSc in relevant fields with strong statistical and programming skills.
The predicted salary is between 60000 - 80000 £ per year.
At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.
Skills and Competencies
- Strong expertise in statistical modelling, probability, and numerical methods, required to develop robust catastrophe risk models
- Proficiency in programming languages such as Python, R, or Julia to build and maintain scalable modelling frameworks
- Experience analysing climate and atmospheric data, with knowledge of tropical cyclone processes preferred
- Ability to collaborate effectively in multidisciplinary teams, including use of version control systems (e.g., Git) for shared code development
- Strong analytical thinking and problem-solving skills to interpret complex hazard behaviours and translate them into model outputs
- Effective communication skills to present technical insights clearly to both technical and commercial stakeholders
- Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency
- Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use
Education
- PhD in Statistics, Atmospheric Science, Climate Science, Applied Mathematics, or a related discipline
- MSc candidates with relevant industry experience may be considered
Responsibilities
- Develop statistical and mathematical models to quantify tropical cyclone risk and support catastrophe risk assessment
- Conduct research into tropical cyclone behaviour, including extreme event modelling, to quantify hazard and loss potential
- Develop, test, and enhance statistical and numerical models used in catastrophe risk assessment
- Collaborate with cross-functional teams across hazard, vulnerability, exposure, and financial modelling to ensure model accuracy and completeness
- Analyse large-scale observational and reanalysis datasets to support model development and validation
- Implement and maintain modelling code in high-performance computing environments where required
- Translate complex modelling outputs into actionable insights for internal stakeholders and external clients
- Contribute to continuous improvement of modelling methodologies, including exploration of advanced techniques such as machine learning
About The Team
Our Model Development - Hazard Modelling team is responsible for building advanced catastrophe models that quantify the financial impact of natural hazards. We contribute to Moody’s by delivering industry-leading catastrophe modelling solutions used by global re/insurance and financial markets, and advancing scientific research and innovation in natural hazard risk modelling. By joining our team, you will be part of cutting-edge work in climate risk, catastrophe modelling, and data-driven analytics within a global, multidisciplinary environment.
Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.
Catastrophe Modeller - Tropical Cyclones employer: PassFort
At Moody's, we pride ourselves on fostering an inclusive and innovative work culture that empowers our employees to thrive. As a Catastrophe Modeller focusing on Tropical Cyclones, you will have the opportunity to engage in cutting-edge research and collaborate with multidisciplinary teams, all while benefiting from continuous professional development and a commitment to ethical practices in AI. Located in a dynamic environment, Moody's offers a unique chance to contribute to meaningful projects that shape the future of risk assessment and management.
StudySmarter Expert Advice🤫
We think this is how you could land Catastrophe Modeller - Tropical Cyclones
✨Network Like a Pro
Get out there and connect with people in the industry! Attend events, webinars, or even local meetups. The more you engage with others, the better your chances of hearing about job openings that might not be advertised.
✨Show Off Your Skills
Don’t just tell them what you can do—show them! Create a portfolio or GitHub repository showcasing your projects in statistical modelling or programming. This gives potential employers a tangible look at your skills and creativity.
✨Ace the Interview
Prepare for interviews by practising common questions related to catastrophe modelling and AI. Be ready to discuss your past experiences and how they relate to the role. Remember, it’s also about how well you fit into their team culture!
✨Apply Through Our Website
Make sure to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll find all the latest opportunities tailored to your skills and interests.
We think you need these skills to ace Catastrophe Modeller - Tropical Cyclones
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your expertise in statistical modelling and programming languages like Python or R, as these are key for the Catastrophe Modeller role.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about catastrophe modelling and how your background aligns with our mission at Moody's. Don’t forget to mention any experience you have with climate data or AI tools!
Showcase Your Teamwork Skills:Since collaboration is crucial in this role, share examples of how you've worked effectively in multidisciplinary teams. Mention any experience with version control systems like Git to show you're ready to contribute from day one.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you're serious about joining our team at Moody's!
How to prepare for a job interview at PassFort
✨Know Your Models Inside Out
Make sure you’re well-versed in statistical modelling and numerical methods. Be ready to discuss your experience with catastrophe risk models, especially related to tropical cyclones. Brush up on how you’ve applied these skills in real-world scenarios.
✨Show Off Your Coding Skills
Since programming is key for this role, be prepared to talk about your proficiency in Python, R, or Julia. Have examples ready of how you've used these languages to build scalable modelling frameworks or analyse climate data.
✨Communicate Clearly
You’ll need to present complex technical insights to both technical and commercial stakeholders. Practice explaining your work in simple terms, focusing on how your findings can drive decisions and strategies.
✨Embrace AI and Continuous Learning
Demonstrate your curiosity about AI and its applications in risk assessment. Share any experiences you have with machine learning or advanced techniques, and express your enthusiasm for learning more about responsible AI practices.
