Moody's
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At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling 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.
Knowledge of SQL, including the ability to write and optimize queries for data extraction, transformation, and reporting; familiarity with relational database systems such as PostgreSQL, MySQL, or SQL Server is a plus
Hands-on experience with Python for data manipulation, including Pandas and NumPy for data processing, cleaning, and analysis; familiarity with libraries such as matplotlib, seaborn, or scikit-learn is advantageous
Understanding of data architectures, data modeling, ETL processes, and data integration technologies
English proficiency at B2+ level or above
Exceptional communication and interpersonal skills, with the ability to collaborate with diverse stakeholders and present complex ideas clearly and concisely to support organizational decision-making
Strong problem-solving and critical-thinking skills to recognize and address complex issues related to managing large datasets
Preferred knowledge of Spark, including distributed computing frameworks for handling large datasets; familiarity with PySpark or SparkSQL is highly preferred, especially for ETL processes and data operations at scale
Preferred knowledge of Databricks, including experience with the platform for collaborative data engineering, machine learning, and analytics; familiarity with Databricks notebooks, Spark workflows, and scalable data processing is a plus
Preferred working experience in data operations, data management, data analytics, automation, or a related role
Willingness to work across time zones, with primary collaboration with stakeholders in India, Belgium, the United States, and the United Kingdom, which may require early morning availability
Ability to work in a hybrid environment with a minimum of one day per week in the office
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 in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use
Preferred Bachelor's degree in Information Systems, Computer Science, Data Engineering, Data Science, Software Development, or a related field
Ideal graduation year: 2028
Internship start date: March 2027
The Intern will contribute to the optimization of North American Data Operations, supporting end-to-end data processes to ensure the availability, integrity, and accuracy of data across our flagship product.
Execute and help establish data quality processes and methodologies to monitor, measure, and improve data accuracy, consistency, completeness, and uniqueness across multiple data sources
Perform analysis to evaluate and enhance data operations processes, identifying opportunities to automate, streamline, and improve efficiency and effectiveness
Support the creation of new data pipeline processes and assist in remediating data observations by leveraging automation and rules engines
Interrogate and analyze data using analytical tools and skills to surface trends, anomalies, and opportunities for continuous improvement
Collaborate with cross-functional teams including Sales, Content, and Product Strategy to develop an understanding of customer use cases and translate business requirements into actionable data insights
Partner with Technology teams to help design and optimize data architecture, data models, and data pipelines
Support clients and internal stakeholders with data-related requests, ensuring timely and accurate responses
The Data Solutions division is the commercial data business of Moody's Analytics, bringing together a vast catalog of data to help business decision-makers assess risks and opportunities. We are best known for Orbis, the world's most comprehensive database of public and private companies, and serve as the definitive source of ratings-related data for companies and securities rated by Moody's Investors Service. Our team strives to deliver convenience and insight by eliminating the hassle of sourcing, preparing, and accessing data — adding real value at the moment decisions need to be made. We leverage advanced data analytics, automation, and emerging technologies, including AI, to continuously improve our data operations and meet the evolving needs of our clients. By joining our team, you will become part of a mission-critical information resource trusted by decision-makers around the world.
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.
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