Senior Financial Data Analyst
Moody's Corporation
Bengaluru, Karnataka, India0–2 yrs2h agovia LinkedIn
This job at a glance
- Who can apply
- Freshers and up to 2 years
- Must know
- Data analysisBusiness analysisAccountingExcelMicrosoft OfficeLLMs
- Nice to have
- PythonPower BI
- Work
- On-site in Bengaluru
- Pay
- Not stated by the employer.
- Skill demand
- Data analysis54%Excel46%Business analysis38%Accounting17%of 24 similar fresher jobs posted in India this week
- Listed
- 3 Nov 2026 · still open
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About the Role
Moody's Corporation is seeking a Senior Financial Data Analyst to contribute to the RRS Global Capability Centers. This role involves performing a range of data, analytical, and research services that support the credit analysis function.
Key Responsibilities
- Independently manage routine deliverables such as portfolio review preparation, credit opinions, and outreach materials.
- Contribute to process improvement initiatives.
- Apply Moody’s ratings methodologies to create adjusted data, key indicators, ratios, charts, and graphs.
- Perform data intake, scrubbing, and validation to ensure accuracy for research and ratings processes.
- Analyze financial reports, official statements, and related documents to assess issuer performance and creditworthiness.
- Partner with analysts and accounting specialists to apply relevant accounting concepts and capture accurate data for ratings.
- Provide direction and resolve queries for junior team members to ensure quality and efficiency in deliverables.
Requirements & Tech Stack
- 0-2 years’ experience in credit/financial data analysis and interpretation.
- Knowledge of capital markets.
- Skilled in identifying key credit risk factors.
- Skilled in applying relevant credit methodologies to support analysis and decision-making.
- Excellent Microsoft Office skills, particularly advanced Microsoft Excel skills.
- Excellent English communication and interpersonal skills.
- Detail-oriented and well-organized.
- Proven ability to excel in team-driven environments.
- Basic understanding of AI concepts (Generative AI tools and Agentic AI systems).
- 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.
- Willingness to develop awareness of responsible AI practices, including risk management and ethical use.
- Experience with data science and analytics tools like Python, Power BI, and Alteryx is advantageous.
- Proficiency in handling large datasets.
- Proficiency in ensuring data integrity.
- Proficiency in applying best practices in data analysis.
- Experience in structured finance will be an added advantage.
Qualifications
- Masters’ degree in Accounting, Finance, Economics, or qualified CA.
- CFA/FRM certification is preferred.