At a Glance
- Tasks: Conduct research on wind gust behaviour and develop analysis methods.
- Company: Leading financial services company in London with a focus on innovation.
- Benefits: Gain valuable experience in a dynamic team and enhance your research skills.
- Why this job: Make an impact in meteorological research while advancing weather risk assessments.
- Qualifications: MSc or PhD students in Meteorology or Climate Science with strong programming skills.
- Other info: 4-month internship starting September 2026, perfect for aspiring researchers.
The predicted salary is between 20000 - 30000 £ per year.
A leading financial services company in London is seeking candidates for a 4-month internship starting September 2026 focused on meteorological research. Ideal for MSc or PhD students in fields like Meteorology or Climate Science.
Responsibilities include:
- Conducting research on wind gust behaviour
- Developing analysis methods
The role requires strong programming skills and a background in statistical analysis. Join a dynamic team dedicated to advancing weather risk assessments.
Wind Risk Modeling Intern — AI & Data Research employer: Moody's Corporation
Contact Detail:
Moody's Corporation Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Wind Risk Modeling Intern — AI & Data Research
✨Tip Number 1
Network like a pro! Reach out to professionals in the meteorology and climate science fields on LinkedIn. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your programming projects or any relevant research you've done. This will help you stand out during interviews and demonstrate your capabilities.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online resources to get comfortable discussing your research and technical skills. The more you practice, the more confident you'll feel.
✨Tip Number 4
Apply through our website! We make it easy for you to find and apply for internships like this one. Don’t miss out on the chance to join a dynamic team focused on advancing weather risk assessments.
We think you need these skills to ace Wind Risk Modeling Intern — AI & Data Research
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in meteorology or climate science. We want to see how your skills align with the role, so don’t be shy about showcasing your programming and statistical analysis expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about wind risk modeling and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any projects related to meteorological research or data analysis, make sure to mention them! We’re keen to see practical examples of your work that demonstrate your skills and creativity in tackling real-world problems.
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 don’t miss out on any important updates. Plus, it shows you’re serious about joining our dynamic team!
How to prepare for a job interview at Moody's Corporation
✨Know Your Stuff
Make sure you brush up on your meteorological concepts and wind gust behaviour. Familiarise yourself with recent research in the field, as well as any relevant programming languages or statistical methods that might come up during the interview.
✨Showcase Your Skills
Prepare to discuss your programming skills and any projects you've worked on that relate to data analysis or climate science. Bring examples of your work, whether it's code snippets or research papers, to demonstrate your capabilities.
✨Ask Smart Questions
Think of insightful questions to ask about the team’s current projects or the company’s approach to weather risk assessments. This shows your genuine interest in the role and helps you understand how you can contribute.
✨Practice Makes Perfect
Conduct mock interviews with friends or mentors to get comfortable with common interview questions. Focus on articulating your thoughts clearly, especially when discussing complex topics like statistical analysis or programming challenges.