At a Glance
- Tasks: Develop and enhance statistical models for tropical cyclone risk assessment.
- Company: Join Moody's Corporation, a leader in risk assessment and innovation.
- Benefits: Inclusive culture, career growth, and opportunities to work with cutting-edge AI.
- Other info: Collaborative environment with a focus on diverse perspectives and continuous improvement.
- Why this job: Make a real impact on climate risk and catastrophe modelling.
- Qualifications: PhD or MSc in relevant fields with strong programming and analytical skills.
The predicted salary is between 60000 - 80000 £ per year.
hackajob is collaborating with Moody's Corporation to connect them with exceptional professionals for this role. 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: hackajob
Moody's Corporation is an exceptional employer that fosters an inclusive and innovative work culture, where diverse perspectives are valued and collaboration thrives. Employees benefit from opportunities for professional growth in a cutting-edge environment focused on climate risk and catastrophe modelling, while also enjoying the freedom to explore AI advancements that enhance their work. Located in a global hub, Moody's offers a dynamic setting for those passionate about turning risks into opportunities.
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 professionals in the field of catastrophe modelling, especially those at Moody's. Use platforms like LinkedIn to connect and engage with them—ask questions, share insights, and show your enthusiasm for the role.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss statistical modelling, programming languages, and AI concepts. Practise explaining complex ideas in simple terms, as you'll need to communicate effectively with both technical and commercial stakeholders.
✨Tip Number 3
Show your curiosity! During interviews, ask thoughtful questions about the team’s projects and how they use AI in their modelling processes. This not only demonstrates your interest but also helps you understand if the company culture aligns with your values.
✨Tip Number 4
Don’t hesitate to apply through our website, even if you don’t meet every single requirement. Moody's values diverse perspectives, and you might just be the perfect fit for the role or another opportunity. Remember, it’s all about showcasing your passion and potential!
We think you need these skills to ace Catastrophe Modeller - Tropical Cyclones in London
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 excited about this opportunity at Moody's. Share your passion for climate science and how your background aligns with our mission to decode risk and unlock opportunities.
Showcase Your Teamwork Skills:Since collaboration is crucial in this role, mention any experience you have working in multidisciplinary teams. Highlight your ability to communicate complex ideas clearly to both technical and non-technical stakeholders.
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 this exciting opportunity at Moody's!
How to prepare for a job interview at hackajob
✨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 you overcame those challenges. This shows your expertise and problem-solving skills.
✨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 languages to build or maintain modelling frameworks. Highlight any experience with version control systems like Git, as collaboration is key in this role.
✨Understand the Climate Context
Familiarise yourself with tropical cyclone processes and climate data analysis. You might be asked about recent trends or significant events, so having a solid grasp of the subject will help you stand out. Show your enthusiasm for learning more about AI's role in this field too!
✨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 crucial. Think of examples where you've done this successfully.
