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 innovation.
- Benefits: Inclusive culture, competitive salary, and opportunities for professional growth.
- Other info: Collaborative team environment focused on cutting-edge research and technology.
- Why this job: Make a real impact on climate risk and catastrophe modelling.
- 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.
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 in London 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 growth opportunities through collaboration on cutting-edge projects in climate risk and catastrophe modelling, all while supporting a diverse workforce. Located in a dynamic environment, our team is dedicated to transforming complex challenges into actionable insights, making Moody's an excellent employer for those seeking meaningful and impactful careers.
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. 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 using online platforms to get comfortable. Remember, confidence is key!
✨Tip Number 3
Showcase your passion for catastrophe modelling and AI during interviews. We want to see your enthusiasm and how you can contribute to our innovative environment. Don’t hold back on sharing your ideas!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Catastrophe Modeller - Tropical Cyclones in London
Some tips for your application 🫡
Show Your Passion:When writing your application, let your enthusiasm for catastrophe modelling and tropical cyclones shine through. We want to see your excitement about the role and how you can contribute to our mission at Moody's.
Tailor Your CV:Make sure your CV highlights relevant skills and experiences that align with the job description. We love seeing candidates who can demonstrate their expertise in statistical modelling and programming languages like Python or R.
Be Clear and Concise:In your written application, clarity is key! Use straightforward language to explain your experience and insights. We appreciate candidates who can communicate complex ideas simply, especially when it comes to technical topics.
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 ensure you’re considered for this exciting opportunity at Moody's.
How to prepare for a job interview at Moody's Corporation
✨Know Your Models
Make sure you brush up on your statistical and mathematical models, especially those related to tropical cyclones. Be ready to discuss how you've developed or enhanced these models in the past, as well as any specific challenges you've faced and how you overcame them.
✨Show Off Your Coding Skills
Since programming is key for this role, be prepared to talk about your experience with Python, R, or Julia. You might even want to bring examples of code you've written or projects you've worked on that demonstrate your ability to build scalable modelling frameworks.
✨Communicate Clearly
Effective communication is crucial, so practice explaining complex technical concepts in simple terms. Think about how you would present your modelling outputs to both technical and non-technical stakeholders, and be ready to showcase your ability to translate data into actionable insights.
✨Embrace Curiosity
Moody's values curiosity, especially regarding AI and its applications in risk assessment. Prepare to discuss your interest in AI tools and how you see them improving processes. Show enthusiasm for learning and exploring new methodologies, including machine learning techniques.
