Posted:6 days ago|
Platform:
Work from Office
Full Time
We are seeking a detail-oriented and analytical Data Analyst to support the Strategy team for the Loan Against Property (LAP) business. The role involves analyzing customer data, underwriting patterns, portfolio performance, and market trends to support strategic decision making and business planning.
1. Data Analysis & Reporting
- Analyze borrower profiles, bank statements, and credit bureau data.
- Support strategic decision-making with insightful data analysis.
- Prepare daily/weekly/monthly MIS reports for sanctions, disbursements, TAT, and portfolio performance.
- Track key credit and business metrics, including delinquency trends, bounce rates, and segment-wise performance.
2. Business & Credit Strategy Support
- Identify growth opportunities and process improvements.
- Support development of credit scorecards, projection models, and policy triggers.
- Conduct competitor and market analysis for strategic initiatives.
3. Portfolio Monitoring
- Monitor portfolio performance and identify early warning signals.
- Develop dashboards for NPAs, PD/LGD trends, geography-wise performance, and customer cohorts.
- Conduct deep-dives into delinquencies, losses, and underwriting deviations.
4. Data Management & Tools
- Clean, structure, and validate data from LOS, LMS, CRM, CBS, and bureau sources.
- Build dashboards using Excel, Power BI, or Tableau.
- Use SQL/Python/R for data extraction, transformation, modelling, and projections.
- Ensure data integrity, accuracy, and audit readiness.
- Strong analytical and quantitative abilities.
- Understanding of credit fundamentals and lending (especially LAP).
- Advanced Excel skills.
- Proficiency in SQL.
- Foundational Python skills.
- Ability to build financial and credit projections.
- Clear communication for insights and recommendations.
- Attention to detail and data accuracy.
- Analytical thinking and problem-solving.
- Ability to manage multiple tasks and timelines.
- High ownership, teamwork, and proactive mindset.
- Work closely with leadership shaping the LAP business strategy.
- Strong exposure to analytics, portfolio insights, and planning.
- High learning and growth potential within Strategy & Credit Analytics.
Kissht
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