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FDA
FDA-November 2024
Bangalore
Nov 6, 2025
ABOUT MOODY'S
Moody's is a global integrated risk assessment firm that empowers organizations to make better decisions. Our data, analytical solutions, and insights help decision-makers identify opportunities and m
10,000+ employees
Financial Services
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About FDA

  The Role:

  Data Associate performs a range of data, analytical and research services that contribute to the

  overall credit analysis function performed by the fundamental and/or structured finance rating

  groups. Prospective candidates will have some knowledge of financial statements and financial

  terms. The ideal candidate for this role will possess strong organizational skills, demonstrate

  attention to detail as well as their ability to work effectively in a collaborative team environment.

  Being part of the Data & Analytics function provides a unique opportunity to foster skills that are

  valuable to any future career in the financial services industry. This will be an internally facing role,

  reporting into the team manager

  Responsibilities:

  Perform analysis to support ratings, research, analytical outreach. Examples of work include:

  Perform various data intake tasks, including scrubbing, validating the data for further use in

  research and ratings

  Gather data from various sources and update relevant databases based on clear instructions

  Identify and research issues with data; escalate to senior members for help in resolution

  Complete simple credit infrastructure/admin tasks with oversight such as maintaining

  documents on a SharePoint, basic database updates and maintaining certain files

  Share daily and weekly updates as required by the process including workflow status or

  summaries of the databases, reports, and lists

  Skills:

  Credit:

  Attention to detail and ability to complete processes with full guidance

  Understand the datasets as well as input and output requirements

  Stakeholder Management:

  Interact with team members and direct managers

  Qualifications:

  Bachelors in Finance, Business, Accounting or similar field

  Relevant experience of up to 1 year in credit/financial data analysis and interpretation

  Microsoft Office skills, in particular basic Microsoft Excel skills

  Fluency in English with good written and verbal communication skills; good interpersonal skills

  * Language skills may be required for certain positions

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