
4.1
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Responsibilities for the job:
- Candidate will be responsible for risk analytics, policy support and cross-sell strategy for existing customer PL campaigns. The role is highly analytical with strong segmentation, delinquency tracking, and campaign governance.
- Analyze internal portfolios to identify eligible cross-sell customer segments.
- Evaluate and recommend changes to risk filters, bureau cut-offs, and income rules.
- Conduct cohort and vintage analysis for repeat borrowers, bounce rates, and early delinquencies.
- Work with Business & Marketing teams on pre-approved PL campaigns, validation rules, and targeting.
- Prepare weekly/monthly cross-sell performance dashboards (approval %, rejection %, DPD movements).
- Monitor performance by channel, bureau segment, income bands, geography, and past repayment
- Perform root cause analysis for delinquency spikes.
- Support revisions to cross-sell policy norms & credit frameworks, launching pilot programs.
- Coordinate with Tech for campaign validation automation and rule deployment.
Other Responsibilities (If Any):
- Hands-on experience with large datasets, data cleaning and transformation using SQL or Python.
- Exposure to scorecard development/ validation (behaviour score) using statistical methods
Eligibility Criteria for the Job:
- Education: BE/ BTech (with Statistics, Mathematics or Economics)
- MBA (Finance/ Analytics)
- Age 30+
- Work Experience: 3-6 years of experience in Cross-sell PL risk, consumer lending analytics, portfolio monitoring
Technical Skills:
- Strong SQL + Python/SAS for customer segmentation.
- Understanding of regression models, segmentation logic, and bureau score usage
- Power BI / Tableau for analytics visualization
Industry Preference: Banks/NBFC digital analytics teams or fintechs with strong CRM/PL cross-sell portfolios.
Soft Skills: Analytical thinking
Strong communication and presentation skill.
Budget 24 LPA including 9% variable
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