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 AI solutions.
- Benefits: Inclusive culture, opportunities for growth, and the chance to work with cutting-edge technology.
- Other info: Collaborative teams, exciting research opportunities, and a focus on responsible AI practices.
- Why this job: Make a real impact by decoding risks and unlocking opportunities in a dynamic environment.
- Qualifications: PhD or MSc in relevant fields, strong statistical modelling skills, and programming proficiency.
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.
If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.
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
- Develops 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
Catastrophe Modeller - Tropical Cyclones employer: 慨正橡扯
At Moody's, we pride ourselves on fostering a dynamic and inclusive work environment where innovation thrives and diverse perspectives are celebrated. As a leader in risk assessment, we offer our employees unparalleled opportunities for professional growth, collaboration across multidisciplinary teams, and the chance to contribute to cutting-edge AI advancements that shape the future of risk management. Located in a vibrant city, our workplace culture encourages curiosity and integrity, making it an ideal setting for those passionate about turning complex challenges into meaningful solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Catastrophe Modeller - Tropical Cyclones
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of catastrophe modelling, especially those who work with tropical cyclones. Use platforms like LinkedIn to connect and engage with them—ask questions, share insights, and show your enthusiasm for the industry.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with statistical modelling and programming languages like Python or R. We recommend practising common interview questions related to climate data analysis and how you can apply AI tools in your work.
✨Tip Number 3
Showcase your collaborative spirit! During interviews, highlight examples of how you've worked in multidisciplinary teams. Discuss your experience with version control systems like Git, as this demonstrates your ability to contribute effectively to shared projects.
✨Tip Number 4
Don’t hesitate to apply through our website, even if you don’t meet every single requirement! At StudySmarter, we believe that diverse perspectives are valuable, and you might just be the perfect fit for the role or another opportunity we have available.
We think you need these skills to ace Catastrophe Modeller - Tropical Cyclones
Some tips for your application 🫡
Show Your Passion for Risk Modelling:When writing your application, let your enthusiasm for catastrophe modelling shine through! Share specific examples of your experience with statistical modelling and how it relates to tropical cyclones. We love seeing candidates who are genuinely excited about the field.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for this role. Highlight your skills in programming languages like Python or R, and mention any relevant projects you've worked on. We want to see how your background aligns with what we do at Moody's!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to explain your technical skills and experiences. Remember, effective communication is key, so make it easy for us to understand your qualifications and how you can contribute to our team.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows that you’re proactive and keen to join our team at Moody's!
How to prepare for a job interview at 慨正橡扯
✨Know Your Stats
Brush up on your statistical modelling and numerical methods. Be ready to discuss how you've applied these skills in past projects, especially in relation to catastrophe risk models. Show them you can turn complex data into actionable insights!
✨Show Off Your Coding Skills
Make sure you're comfortable with programming languages like Python, R, or Julia. Prepare to talk about specific projects where you've used these tools to build scalable models. If you have experience with version control systems like Git, mention that too!
✨Understand the Climate
Familiarise yourself with tropical cyclone processes and climate data analysis. Be prepared to discuss any relevant research or experiences you've had in this area. Showing genuine interest and knowledge will set you apart from other candidates.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. You’ll need to present insights to both technical and commercial stakeholders, so being able to communicate effectively is key. Think of examples where you've successfully conveyed complex ideas to diverse audiences.
