Let's begin! Model Development Intern Winter Hazard
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Job Location:
Monthly Salary:
Posted on:
19 hours ago
Vacancies:
1 Vacancy
Job Summary
At Moodys we unite the brightest minds to turn todays risks into tomorrows opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they arewith the freedom to exchange ideas think innovatively and listen to each other and customers in meaningful ways. Moodys is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment were advancing AI to move from insight to actionenabling 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
- Proven ability to clean process and analyse large and complex datasets
- Strong mathematical and statistical foundations
- Solid programming skills in scientific languages (e.g. Python R Julia)
- Good working knowledge of Linux/Unix environments and experience using version control tools such as GitHub
- Experience reviewing and synthesising scientific or technical literature
- Deep understanding of synoptic mesoscale or boundary layer meteorology (or wind engineering) preferred
- Experience working with large scale meteorological datasets (e.g. ISD ASOS/METAR SPC severe weather reports) preferred
- Familiarity with large scale modelled/reanalysis datasets (e.g. ERA5 NARR) preferred
- Experience processing and visualising large spatial datasets preferred
- Some knowledge of tail events and extreme value statistics preferred
- Ability to communicate analytical results and insights clearly
- Self motivated proactive and able to work effectively both independently and as part of a team
- 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 exploring AI systems and a willingness to develop awareness of responsible AI practices including risk management and ethical use
Education
- Currently studying towards an MSc or PhD in Meteorology Atmospheric Sciences Climate Science Wind Engineering Physics Applied Mathematics Statistics or related fields (including students transitioning between MSc and PhD programs)
- Available for a 4-month internship starting in September 2026
Responsibilities
- Conduct research and development to improve the understanding of wind gust behaviour across observational and modelled datasets
- Develop methods to extract wind gusts from large datasets and classify them by their dominant physical drivers (e.g. convective synoptic topographic)
- Assess uncertainty and identify biases in widely used wind datasets
- Collaborate with catastrophe modelers to translate research insights into components used in extreme wind catastrophe models (e.g. severe convective storms tropical and extra tropical cyclones)
About the team
The Moodys RMS Severe and Winter Weather team based in London sits within the companys Model Development group as part of the Models and Data Business Unit. The team work closely with other hazard vulnerability exposure and financial modelers to quantify the loss potential of severe and winter weather events and to ensure the accuracy efficiency and appropriateness of the final modelling product. We function as a multidisciplinary team of catastrophe modelers including statisticians mathematicians physical scientists and engineers who build models critical to our Re/Insurance clients and the other markets that Moodys RMS serve.
Moodys 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 Moodys Corporation may be asked to disclose securities holdings pursuant to Moodys 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.
Required Experience:
Intern
Key Skills
- Python
- C/C++
- Fortran
- R
- Data Mining
- Matlab
- Data Modeling
- Laboratory Techniques
- MongoDB
- SAS
- Systems Analysis
- Dancing
About Company
Moody's CreditView is our flagship solution for global capital markets that incorporates credit ratings, research and data from Moody's Investors Service plus research, data and content from Moody's Analytics.
