Financial Data Analyst
Moody's Corporation
This job at a glance
- Who can apply
- Freshers and up to 2 years · Bachelor's degree
- Must know
- AccountingExcelMicrosoft OfficeLLMsData analysis
- Nice to have
- Stakeholder management
- Work
- On-site in Bengaluru
- Pay
- Not stated by the employer.
- Skill demand
- Excel38%Accounting12%Microsoft Office12%LLMs8%of 26 similar fresher jobs posted in India this week
- Listed
- 6 Nov 2026 · still open
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About The Team
The RRS Global Capability Centers provide a unique opportunity to foster skills valuable to any future career in the financial services industry. The RRS GCC teams perform a range of data, analytical, and research services contributing to the overall credit analysis function performed by the rating groups.
Key Responsibilities
- Support credit analysis through data, research, and analytical services.
- Apply Moody’s standards to financial data to generate adjusted metrics, ratios, and visualizations.
- Scrub and validate data for use in ratings and research.
- Review financial reports and official statements to assess issuer performance.
- Collaborate with analysts and accounting specialists to interpret accounting treatments.
- Assist rating teams by gathering and preparing data inputs.
- Perform calculations and apply judgment to support analytical outputs.
- Maintain databases and complete deliverables such as newsletters and ad-hoc reports.
Requirements & Tech Stack
- Microsoft Office (especially Excel)
- Basic understanding of how data integrates into credit methodologies and ratings processes.
- Ability to read, interpret, and analyze financial metrics and statements.
- Strong English communication and interpersonal abilities.
- Basic understanding of AI concepts (Generative AI tools and Agentic AI systems) with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency leveraging these technologies for research, analysis, or workflow optimization.
- Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use.
Qualifications
- 0-2 years in credit/financial data analysis and interpretation.
- Bachelor’s degree in Finance, Business, Accounting, or a related field.
- Experience in structured finance will be an added advantage.
- CFA / FRM preferred.
Engage effectively with team members, managers, and select stakeholders to support deliverables.
Develop working knowledge of multiple simple projects or deliverables under guidance.