At Moody's, the business problem is to transform how the world sees risk by advancing AI to move from insight to action, enabling intelligence that not only understands complexity but responds to it, and to decode risk to unlock opportunity, helping clients navigate uncertainty with clarity, speed, and confidence.
Requirements
- Strong analytical and problem-solving skills
- Familiarity with data pipelines, ETL/ELT concepts
- Experience with Python, SQL or similar languages
- Understanding of cloud platforms (AWS, GCP, Azure preferred)
- Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency
- Familiarity with Databricks for data analytics and engineering
- Experience with Airflow for workflow orchestration
- Exposure to other cloud platforms or data engineering tools
Responsibilities
- Develop and maintain software applications using Python
- Apply object-oriented programming (OOP) principles in code design and implementation
- Work with SQL for data querying and manipulation
- Utilize Docker for containerization and deployment of applications
- Collaborate on projects hosted in AWS cloud environments
- Manage version control and contribute to repositories using GitHub
- Participate in an agile development process, including sprint planning and daily stand-ups
Other
- Anticipated Bachelor's Degree computer science or STEM related field
- Graduation date of December 2026 - June 2027
- Ability to work during program dates: June 1st - August 7th 2026
- Ability to communicate technical concepts clearly
- Team-oriented, proactive, and eager to learn
- Attention to detail and organizational skills
