At a Glance
- Tasks: Develop advanced models to quantify tropical cyclone risk using AI and climate analytics.
- Company: Join Moody's Corporation, a leader in financial assessments and climate risk initiatives.
- Benefits: Diverse and inclusive environment with opportunities for professional growth.
- Other info: Collaborate across teams to ensure model accuracy and drive innovation.
- Why this job: Make a real impact on climate risk while working with cutting-edge technology.
- Qualifications: PhD in relevant field or MSc with industry experience; programming skills in Python, R, or Julia.
The predicted salary is between 60000 - 80000 £ per year.
Moody's Corporation is seeking an expert in statistical modelling and climate science to develop advanced catastrophe models that quantify tropical cyclone risk and support financial assessments. This role involves using programming languages such as Python, R, or Julia and collaborating across teams to ensure model accuracy.
A PhD in a relevant field is required, while MSc candidates with industry experience may be considered.
Join Moody's to work on cutting-edge climate risk initiatives within a diverse and inclusive environment.
Tropical Cyclone Risk Modeller - AI & Climate Analytics in London employer: Moody's Corporation
Moody's Corporation is an exceptional employer that champions innovation and collaboration in the field of climate analytics. With a commitment to diversity and inclusion, employees benefit from a supportive work culture that fosters professional growth through continuous learning opportunities and engagement in groundbreaking projects. Located in a vibrant city, Moody's offers a unique chance to contribute to meaningful climate risk initiatives while working alongside industry experts.
StudySmarter Expert Advice🤫
We think this is how you could land Tropical Cyclone Risk Modeller - AI & Climate Analytics in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the climate science and statistical modelling fields. Use platforms like LinkedIn to connect with people at Moody's or similar companies. A friendly chat can open doors that applications alone can't!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python, R, or Julia. Highlight any relevant work on catastrophe models or climate analytics. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your approach to modelling tropical cyclone risks and how you collaborate with teams. Practice common interview questions to boost your confidence!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who take the initiative. Tailor your application to highlight your expertise in climate science and statistical modelling, and let us know why you're excited about working at Moody's.
We think you need these skills to ace Tropical Cyclone Risk Modeller - AI & Climate Analytics in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your expertise in statistical modelling and climate science. We want to see how your skills with programming languages like Python, R, or Julia can contribute to our advanced catastrophe models.
Tailor Your Application:Don’t just send a generic application! Customise your CV and cover letter to reflect the specific requirements of the Tropical Cyclone Risk Modeller role. We love seeing how you connect your experience to what we do at Moody's.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and passion for the role.
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 in climate risk initiatives!
How to prepare for a job interview at Moody's Corporation
✨Know Your Stats
Brush up on your statistical modelling skills, especially as they relate to tropical cyclones. Be prepared to discuss specific models you've worked on and how they apply to financial assessments. This will show your expertise and relevance to the role.
✨Showcase Your Programming Skills
Make sure you’re comfortable discussing your experience with Python, R, or Julia. Bring examples of projects where you used these languages to develop models. This will demonstrate your technical proficiency and ability to contribute to the team.
✨Collaborative Spirit
Since the role involves collaboration across teams, be ready to share examples of how you've successfully worked with others in the past. Highlight your communication skills and how you ensure model accuracy through teamwork.
✨Stay Current on Climate Science
Familiarise yourself with the latest trends and research in climate science, particularly regarding tropical cyclones. Being able to discuss recent developments will show your passion for the field and your commitment to staying informed.
