Library Science Intern

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. 

Skills and Competencies

• Experience working with library management systems or platforms
• Experience with Boolean-based searching and information retrieval techniques
• Knowledge of Business and Finance concepts preferred
• Exposure to Generative AI tools such as Copilot, Claude,ChatGPT, or similar platforms
• Experience with text manipulation or text mining using tools such as Python, SQL, or similar languages
• A natural inquisitiveness and a desire to learn new technologies and processes
• 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

Education

• Currently pursuing a Bachelor's or Master's degree in Liberal Arts, Library Science, or Information Science
• Ideal graduation date: 2028
• Internship start date: March 2027

Responsibilities

Support the Data Estate News Enrichment Team by performing quality assurance, editorial, and content categorization work across a wide range of news and financial data sources.

• Perform quality assurance work on news enrichment content to ensure accuracy and consistency
• Research company-related filings and press releases to support data validation efforts
• Improve the tagging of entities such as organizations, people, and locations within news stories
• Enhance the application of subject and industry taxonomies across news content
• Monitor news events and emerging trends to support timely and accurate content enrichment
• Perform editorial duties to maintain quality standards across all enriched content

About the Team

The Data Estate News Enrichment Team is part of Moody's Analytics, bringing together a vast catalogue 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. We strive to deliver convenience and insight to our customers by eliminating the hassle of sourcing, preparing, and accessing data — adding real value when decisions need to be made. The team is responsible for all value-added enrichment to news content, including translations, topical categorization, named entity recognition of organizations, people and locations, sentiment analysis, event detection, and summarization. By joining our team, you will contribute to mission-critical information resources that decision-makers around the world rely on every day, with opportunities to work alongside AI-powered tools shaping the future of data enrichment.

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.