At a Glance
- Tasks: Develop and enhance statistical models for tropical cyclone risk assessment.
- Company: Join Moody's, a global leader in risk assessment and AI innovation.
- Benefits: Inclusive culture, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on diversity and continuous improvement.
- Why this job: Make a real impact on climate risk modelling and data-driven analytics.
- Qualifications: PhD or MSc in relevant fields with strong programming and analytical 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.
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.
- 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.
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
Catastrophe Modeller - Tropical Cyclones employer: Moody's Corporation
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 opportunities for professional growth and collaboration within multidisciplinary teams, all while contributing to meaningful advancements in climate risk modelling. Our commitment to diversity and integrity ensures that every voice is valued, making Moody's an outstanding employer for those passionate about turning risks into opportunities.
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 people in the industry, attend events, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your skills. We recommend doing mock interviews with friends or mentors to build confidence and get feedback on your responses.
✨Tip Number 3
Showcase your passion for catastrophe modelling and AI! When you get the chance to chat with potential employers, let them know how excited you are about the role and how you can contribute to their mission.
✨Tip Number 4
Don’t hesitate to apply through our website! Even if you don’t meet every requirement, we believe you could still be a great fit. So go ahead, take that leap and submit your application!
We think you need these skills to ace Catastrophe Modeller - Tropical Cyclones
Some tips for your application 🫡
Show Your Passion for Risk Modelling:When you write your application, let your enthusiasm for catastrophe modelling shine through! Share any relevant projects or experiences that highlight your skills in statistical modelling and programming. We love seeing candidates who are genuinely excited about the field.
Tailor Your Application:Make sure to customise your application to reflect the specific requirements of the Catastrophe Modeller role. Highlight your expertise in Python, R, or Julia, and mention any experience with climate data analysis. This helps us see how you fit into our team!
Be Clear and Concise:While we appreciate detail, clarity is key! Use straightforward language to explain your technical skills and experiences. Remember, we want to understand your insights without getting lost in jargon. Keep it engaging and easy to read!
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 Moody's Corporation
✨Know Your Models Inside Out
Make sure you can discuss your statistical and mathematical models in detail. Be prepared to explain how you've developed them, the challenges you faced, and how they apply to tropical cyclone risk assessment. This shows your expertise and passion for the field.
✨Show Off Your Coding Skills
Brush up on your programming languages like Python, R, or Julia. Be ready to talk about specific projects where you've used these skills to build or maintain modelling frameworks. If you can share examples of how you've collaborated using version control systems like Git, even better!
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You’ll need to present insights to both technical and commercial stakeholders, so being able to translate your findings into actionable insights is key. Think of examples where you've done this successfully.
✨Embrace Curiosity About AI
Since the role involves exploring AI systems, show your enthusiasm for learning how AI can enhance modelling processes. Discuss any relevant experiences or projects where you've applied AI concepts, and be open about your willingness to learn more about responsible AI practices.
