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Data Specialist

Moody's

Gurugram, IndiaMid
Sign in to applyVerified
Location
Gurugram, India
Work model
On-Site
Level
Mid

About this role

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 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

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