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Tier-1 brand, entry-level generic data role in a metro attracts many qualified applicants.
Data skills transferable, but finance and ratings domain knowledge increases role specificity.
Open to freshers with minimal mandatory experience and few strict technical requirements.
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Support ratings and research by performing financial data analysis, validation, and data intake tasks following MIS standards.
Create visual data representations like charts and dashboards to communicate findings effectively to rating teams.
Collaborate with ratings and support analysts to understand data requirements and participate in process improvement initiatives.
Up to 1 year of relevant experience in credit/financial data analysis or structured finance domain preferred.
Graduate degree in Finance, Economics, Business, Accounting, or similar field; freshers with CFA Level 1 or 2 cleared eligible to apply.
Basic understanding of fundamental finance, financial statements, and capital markets.
Fluency in English with good written and verbal communication; basic knowledge of AI concepts and willingness to learn responsible AI practices.
Analytical contributor comfortable working with financial data and applying standard MIS methodologies to support ratings.
Collaborative individual capable of working with cross-functional teams including ratings and support analysts to refine data capture and analysis.
Candidate who shows initiative in leveraging AI tools, process improvement, and handling ad-hoc support tasks within a structured operational environment.