Applications for this job are now closed
Imagine what we can DEVELOP with you.
True leaders are always learning. Moody’s is home to information architects, thinkers, builders, and passionate problem solvers, a collection of diverse viewpoints working together to bring out our best. Join us. Forward Together.
Moody’s is a developmental culture where we value candidates who are willing to grow. So, if you are excited about this opportunity but don’t meet every single requirement, please apply! You may be a perfect fit for this role or other open roles. Moody's is a global integrated risk assessment firm that empowers organizations to make better decisions.
At Moody’s, we’re taking action. We’re hiring diverse talent and providing underrepresented groups with equitable opportunities in their careers. We’re educating, empowering and elevating our people, and creating a workplace where each person can be their true selves, reach their full potential and thrive on every level. Learn more about our DE&I initiatives, employee development programs and view our annual DE&I Report at moodys.com/diversity
Team overview
The Moody’s RMS model development team hires the best scientist for building mathematical models that predict the distributions of possible damage due to the effects of tropical storms, extra-tropical storms, thunderstorms, storm-surges and fluvial floods, using a combination of observed data, reanalysis data, numerical and statistical models and data assimilation.
Within the Model Development department, the flood team focuses on developing high-resolution, large-scale hydrologic/hydraulic models to assess flood risk. The modeling work carried out by the flood team encompasses all steps from hazard modeling to loss modeling. The group has an engaged, collaborative working environment with a clear scientific and technological culture.
Overview of role/responsibilities for the intern
The goal of the internship is to perform applied research on AI tools to model riverine and runoff processes to further improve flood model accuracy and efficiency. Tasks will include conducting scientific literature reviews and sharing this out to the team, manipulation of flood modelling datasets, and prototyping and experimenting with modelling approaches at the forefront of the science.
Qualifications
Must have
- Scientific background in mathematics, physics, engineering, earth sciences or other relevant discipline and an interest. to work in weather related risk modelling
- Working knowledge of AI methods and hands-on experience with data driven methods
- Demonstrated programming skills in R or Python or other programming language used for scientific computing.
- Ability to communicate scientific research and ability to work as part of a team.
Considered an advantage
- Knowledge of hydrology and hydrologic modelling
- Advanced programming skills and GPU-accelerated computing
Additional information
Actual salaries will vary and will be based on various factors, such as candidate’s qualifications, skills, and competencies. The salary is one component of Moody’s total compensation package for employees. Other rewards and benefits include the following: Medical, Personal Accident, Life Insurance and Time Off.
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.
Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee’s tenure with Moody’s.
