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Data Specialist

Moody's
Gurugram, IND
Full-time
Mid · 2–4 years experience
Onsite
Discovered 1 weeks ago
Microsoft Office

Full Job Posting

Skills and Competencies

  • 2–4 years of experience in financial data research, investment data, or a related field, with demonstrated knowledge of Mergers and Acquisitions concepts, deal structures, and transaction terminology
  • Strong analytical and information-processing skills with the ability to identify, prioritize, and document relevant data points accurately and efficiently across multiple sources
  • Proficiency in Microsoft Office Suite, including Word, Outlook, and Excel, with the ability to manage and update structured databases via internal software platforms
  • Excellent organizational skills and exceptional attention to detail, with a commitment to maintaining high levels of data quality and consistency within peer review and checking procedures
  • Strong written and verbal communication skills in English, with the ability to create and maintain clear internal documentation, regional procedures, and process guidelines
  • Ability to multi-task and adapt to shifting priorities in a fast-paced environment while consistently meeting productivity and quality standards
  • 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

Undergraduate or advanced degree in Economics, Finance, Statistics, or a related field preferred

Strong academic interest or coursework in Mergers and Acquisitions, corporate finance, or financial markets is highly desirable

Responsibilities

  • The Data Specialist is responsible for researching, documenting, and maintaining Mergers and Acquisitions data within Moody's Analytics online subscription database, ensuring accuracy, timeliness, and consistency.
  • Gather, summarize, and update Mergers and Acquisitions information across an assigned geographical region or area of specialism, capturing key data points such as deal type, payment methods, deal values, deal participants, sources, dates, and statuses
  • Maintain and enrich the company's historical Mergers and Acquisitions database in a timely and accurate manner using internal database management software
  • Monitor and process real-time news by leveraging an aggregated news service and conducting primary internet research, downloading, prioritizing, and analyzing news articles relevant to the assigned coverage area
  • Identify and implement improvements to existing research processes and procedures to enhance the speed and accuracy of the data product
  • Conduct research on regional regulations and emerging data sources to expand the existing data offering in line with product development goals
  • Create and update regional documentation including internal procedures, news collection methods, definitions, and download processes to ensure standardization and consistency across research teams
  • Maintain individual productivity standards through efficient timekeeping and adherence to established research workflows and processes
  • Contribute to quality assurance by actively participating in peer-to-peer checking procedures and upholding data integrity standards across all deliverables

About the Team

The Data Solutions division is the commercial data business of Moody's Analytics, bringing together a vast catalogue of financial data to help business decision-makers assess risks and opportunities around the world. 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 is committed to eliminating the complexity of sourcing, preparing, and accessing data — delivering convenience, insight, and mission-critical information to decision-makers globally. By joining us, you will be part of a collaborative, innovation-driven environment in Gurgaon where your work directly contributes to the intelligence that powers smarter financial decisions worldwide.

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.

Requirements

  • 2–4 years of experience in financial data research, investment data, or a related field, with demonstrated knowledge of Mergers and Acquisitions concepts, deal structures, and transaction terminology
  • Strong analytical and information-processing skills with the ability to identify, prioritize, and document relevant data points accurately and efficiently across multiple sources
  • Proficiency in Microsoft Office Suite, including Word, Outlook, and Excel, with the ability to manage and update structured databases via internal software platforms
  • Excellent organizational skills and exceptional attention to detail, with a commitment to maintaining high levels of data quality and consistency within peer review and checking procedures
  • Strong written and verbal communication skills in English, with the ability to create and maintain clear internal documentation, regional procedures, and process guidelines
  • Ability to multi-task and adapt to shifting priorities in a fast-paced environment while consistently meeting productivity and quality standards
  • 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

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