Financial Data Analyst

Job Summary

At Moodys, 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.

Skills and Competencies

• Strong understanding of fundamental finance and financial statements
• Basic understanding of capital markets
• Relevant experience of up to 1 years in credit/financial data analysis/structured finance domain and interpretation is an added advantage
• Strong analytical, problem-solving, and investigative skills, with the ability to investigate data issues, perform basic root-cause analysis, and contribute to data quality improvement initiatives.
• Understanding of data management and data quality principles, with the ability to work with datasets, perform data validation checks, and support data analysis, reporting, and operational processes
• Ability to manage multiple priorities, deliver high-quality outcomes within established deadlines, and maintain a strong focus on accuracy, quality control, and process consistency.
• Create visual representations of data findings through charts, graphs, and dashboards to make the data understandable.
• Effective communication and collaboration skills, with the ability to build productive relationships and work successfully with cross-functional teams and stakeholders.
• 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

• Bachelor's or Master's degree in Finance, Economics or Business/Accounting
• Advanced Microsoft Excel skills and strong proficiency across the wider Microsoft Office suite
• Any knowledge in SQL, Python, PowerBI etc. will be an added advantage

Responsibilities

• Perform analysis to support ratings, research, analytical outreach. Examples of work include:
• Perform various data intake tasks, including scrubbing, validating the financial data for further use in research and ratings
• Apply MR standards to existing data in order to produce valuable inputs into the rating and research process, including Moodys adjusted data, key indicators, ratios, charts and graphs in line with MRs methodologies
• Responsible for reviewing and understanding 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
• Complete simple deliverables such as newsletters, database maintenance, more complex or high profile admin or other ad-hoc support with oversight
• Be able to perform data intake exercises such as resolution of data point or mapping issues

About the team

Being part of the Structured Finance Analytic Data Operations team offers a unique opportunity to contribute to the overall goals and objectives of Moodys Ratings by managing financial and analytical data in a cost-effective, controlled, and high-quality manner. Our team combines a strong focus on quality, operational excellence, and innovation to continuously enhance data processes and analytical workflows. As part of a global organization, you will collaborate with colleagues across regions, gain exposure to a broad range of asset classes and markets, and play a meaningful role in strengthening the data foundation that supports informed decision-making across the organization

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.