Catastrophe Modeller - Tropical Cyclones (London)

Catastrophe Modeller - Tropical Cyclones (London)

London Full-Time 70100 - 98000 £ / year (est.) No working from home possible
Moody's Corporation

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, 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 modelling and contribute to global safety.
  • Qualifications: PhD or MSc in relevant fields with strong programming and analytical skills.

The predicted salary is between 70100 - 98000 £ 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.

Moody's Corporation

Contact Details:

Moody's Corporation Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Catastrophe Modeller - Tropical Cyclones (London)

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Moody's Corporation!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Catastrophe Modeller - Tropical Cyclones (London) at Moody's Corporation.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Moody's Corporation.

Apply Directly through Our Website

When you find a suitable opening like Catastrophe Modeller - Tropical Cyclones (London) at Moody's Corporation, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Catastrophe Modeller - Tropical Cyclones (London)

Statistical Modelling
Probability
Numerical Methods
Python
R
Julia
Climate Data Analysis

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Moody's Corporation, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Moody's Corporation. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Moody's Corporation

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Moody's Corporation!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.