Data Analyst for Structured Finance

4 weeks ago

Bengaluru, Karnataka, India Moody's Full time

About the Role

We are seeking a highly skilled Data Analyst to join our Structured Finance team at Moody's. As a Data Analyst, you will play a critical role in supporting our credit analysis function by performing a range of data, analytical, and research services.

Key Responsibilities

  • Apply MIS' standards to existing data to produce valuable inputs into the rating and research process.
  • Perform various data intake tasks, including scrubbing and validating data for further use in research and ratings.
  • Review and understand financial reports, official statements, and other documents related to issuers' performance.
  • Work directly with ratings and support analysts to understand data capture requirements, adjustments, and other information needed by the rating team for ratings and research.
  • Take initiative to participate in projects or process improvements.
  • Be able to perform data intake exercises such as resolution of data point or mapping issues.
  • Work independently on straightforward business as usual (BAU) deliverables such as simple loan by loan pools and aggregation of CDO data.
  • Provide guidance to resolve queries of more junior team members.

Requirements

  • Bachelor's or Master's degree in Engineering, Finance, Economics, or Business/Accounting.
  • Relevant experience of 1-3 years in credit/financial data analysis and interpretation; experience in structured finance will be an added advantage.
  • Strong organizational skills, attention to detail, and ability to work effectively in a collaborative team environment.
  • Microsoft Office skills, in particular intermediate to advanced Microsoft Excel skills.
  • Fluency in English with good written and verbal communication skills; good interpersonal skills.

About Moody's

Moody's is an equal opportunity employer. We are committed to creating an inclusive environment where everyone feels welcome to be who they are. We strive to turn today's risks into tomorrow's opportunities by fostering a culture of innovation, collaboration, and continuous learning.

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