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: Collaborate with diverse teams and explore AI tools to drive efficiency and innovation.
- 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
- PhD in Statistics, Atmospheric Science, Climate Science, Applied Mathematics, or a related discipline
- MSc candidates with relevant industry experience may be considered
- 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 in London employer: 慨正橡扯
At Moody's, we pride ourselves on fostering an inclusive and innovative work culture that empowers our employees to thrive. As a leader in risk assessment, we offer exceptional growth opportunities through collaboration with multidisciplinary teams and the chance to engage with cutting-edge AI technologies. Located in a vibrant environment, we encourage diverse perspectives and provide a platform for meaningful contributions that drive both personal and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Catastrophe Modeller - Tropical Cyclones in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your skills. Think about how your expertise in statistical modelling and programming can solve real-world problems at Moody's.
✨Tip Number 3
Show your passion for AI and climate science during interviews. Discuss how you can contribute to innovative solutions and demonstrate your curiosity about the latest trends in catastrophe modelling.
✨Tip Number 4
Don’t hesitate to apply through our website, even if you don’t tick every box. We value diverse perspectives and are keen to see how your unique background can add to our team!
We think you need these skills to ace Catastrophe Modeller - Tropical Cyclones in London
Some tips for your application 🫡
Show Your Passion for Risk:When writing your application, let your enthusiasm for catastrophe modelling and risk assessment shine through. We want to see how excited you are about tackling challenges in this field and how you can contribute to turning risks into opportunities.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter to highlight your relevant skills and experiences. We love seeing how your background in statistical modelling or programming languages like Python or R aligns with what we're looking for.
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to explain your technical skills and experiences, especially when discussing complex topics like tropical cyclone processes. We appreciate clarity as much as complexity!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining 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. Having specific examples will show your expertise and confidence.
✨Show Off Your Coding Skills
Make sure you're comfortable with programming languages like Python, R, or Julia. Prepare to talk about any frameworks you've built or maintained. If you can, bring a small project or code snippet to demonstrate your proficiency—this could really impress the interviewers!
✨Collaborate Like a Pro
Since teamwork is key, think of examples where you've successfully collaborated in multidisciplinary teams. Highlight your experience with version control systems like Git, as this shows you're ready to work in a shared coding environment.
✨Communicate Clearly
Practice explaining complex concepts in simple terms. You might be asked to present technical insights to non-technical stakeholders, so being able to communicate effectively is crucial. Consider doing mock interviews to refine your delivery and clarity.
