Collection Analytics Specialist
Muthoot Fincorp Limited
Work from Office
Full Time
Min. 5 yearsJob Description
COLLECTION ANALYTICS
Role Profile
Role Title: Collection Analytics
ROLE SPECIFICATION
Role Title |
Collection Analytics |
Employee Interviewed |
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Reports To | National Collection Head - Recovery |
Company | Muthoot Fincorp Limited |
Function/Department | Secured & Unsecured Lending Business / Recovery |
Written By |
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Approved By (Jobholder) |
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Approved By (Immediate Superior) |
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Date (Written On) |
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ROLE SUMMARY
Support the end to end analytics function for unsecured loan collections by developing MIS, dashboards, and analytical insights to improve recovery performance across field, digital, and call centre channels. Drive data-backed actions to reduce roll rates, improve customer contactability, and enhance collection efficiency.
ORGANIZATIONAL CHART
National Collection Head - Recovery |
Collection Analytics |
KEY RESPONSIBILITIES
Dashboard & MIS Development | Build and maintain daily/weekly MIS and dashboards covering: Field collections (visits, PTP adherence, FOS productivity) Digital collections (SMS/WhatsApp/email campaigns, payment link conversion, self-cure rates) Call centre performance (connect rates, RPC/PTP, conversion to payments) Recovery tracking for pre-write-off and post-charge-off portfolios Ensure automation, accuracy, and timeliness of reporting
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Portfolio Monitoring | Track bucket-level performance (1–30, 31–60, 61–90, 90+) Analyze roll rates, flow-through, bounce trends, and resolution rates Monitor daily DRR (Daily Resolution Rate) vs targets Identify high-risk segments and early warning signals for slippage
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Analytical Support & Modeling
| Support development of: Propensity to pay models Segmentation for prioritization (value * risk * contactability) Early-stage risk indicators for delinquency prevention Perform cohort, vintage, and segmentation analysis to optimize strategies
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Channel Optimization
| Evaluate and compare channel efficiency (field vs digital vs call centre) Track cost vs recovery and productivity metrics Support account allocation strategies based on:
Customer segment Ticket size Delinquency stage Recommend treatment strategies (digital-first, call-first, field escalation)
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Stakeholder Collaboration | Work closely with collections teams, dialer teams, digital campaigns, and risk teams Provide actionable insights for daily ops reviews Support leadership with analytics for strategy decisions and performance reviews
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Skills & Tools
SQL (mandatory), Python (preferred)
Power BI / Tableau
Experience with:
Dialer systems
Digital communication platforms (SMS, WhatsApp, email engines)
Collection platforms / LMS
Strong analytical, problem-solving, and business communication skills
Success Metrics
Accuracy and timeliness of MIS and dashboards
Improvement in DRR and resolution rates across buckets
Reduction in roll-forward / flow to higher delinquency buckets
Increased digital and call centre recovery contribution
Improved contactability and conversion rates
Adoption of dashboards by operations teams
EDUCATION / EXPERIENCE
5 to 7 years of experience in analytics, preferably in unsecured lending collections
Strong exposure to high-volume, high velocity collections environments
Bachelor’s/Master’s in Statistics, Data Science, Mathematics, Engineering, or related field
Nature of Experience: 5+ Years Experience
Job role
Job requirements
About company
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