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 AI innovation.
- Benefits: Inclusive culture, competitive salary, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on continuous improvement and innovation.
- 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.
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 employer: hackajob
At Moody's Corporation, 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 cutting-edge research in climate risk and catastrophe modelling. Our commitment to diversity and integrity ensures that every voice is valued, making Moody's an excellent employer for those looking to make a meaningful impact in the world of risk management.
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 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 like Python or R, and your understanding of tropical cyclone processes. Practice explaining complex concepts in simple terms—this will impress both technical and commercial stakeholders.
✨Tip Number 3
Show your curiosity! During interviews, express your interest in AI and how it can enhance catastrophe modelling. Share any relevant experiences or projects where you've explored innovative solutions—this will demonstrate your proactive approach and alignment with Moody's 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 team. Remember, your unique experiences could bring fresh insights to the role!
We think you need these skills to ace Catastrophe Modeller - Tropical Cyclones
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 Collaboration Skills:Since teamwork 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. This ensures your application gets to the right people and shows your enthusiasm for joining our innovative team at Moody's!
How to prepare for a job interview at hackajob
✨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 projects where you've used these languages to build or maintain models. If you can, bring along a code sample that demonstrates your ability to collaborate using version control systems like Git.
✨Understand the Climate
Familiarise yourself with tropical cyclone processes and climate data analysis. Be prepared to discuss how you've approached similar challenges in the past and how you can apply that knowledge to the role. Showing genuine interest in climate science will resonate well with the interviewers.
✨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 articulate your thoughts clearly is crucial. Consider doing mock interviews to refine your communication skills.
