Data Analyst

Batch: 2022/2023/2024. Responsibilities: - Prepare and maintain lender reports, including performance metrics, portfolio quality and repayment trends. - Develop and present board reports / MIS decks with key insights, KPIs and risk indicators. - Track and analyze portfolio performance (DPD, NPA, roll rates, vintage analysis, etc.). - Ensure data accuracy and consistency across reports shared with lenders and senior management. - Automate reporting processes to improve efficiency and reduce manual effort. - Collaborate with cross-functional teams (Risk, Finance, Product, Operations) for data validation and insights. - Support regulatory and audit-related data requirements. - Identify early warning signals and highlight risk trends in the portfolio. Requirements: - 2–3 years of experience in lending / fintech / NBFC / banking domain. - Strong understanding of credit risk metrics (DPD, NPA, IRR, vintage curves, etc.). - Proficiency in SQL and Python. - Strong analytical and problem-solving skills. - Good communication skills with the ability to present insights clearly to senior stakeholders. - High attention to detail and ability to work in a fast-paced environment.