
collections strategy
3 weeks ago
Job Description: Collection Strategy
Job Title: Manager/Senior Manager Collection Strategy
Department: Collections & Recovery
Location: Bangalore
Reports To: Head Collections Strategy
Role Objective:
To drive strategic initiatives in collections across the customer lifecycle by leveraging data-driven insights, predictive modeling, segmentation strategies, and digital collection tools to optimize recovery rates, reduce bounce, and enhance operational efficiency.
Key Responsibilities:
- Develop and implement data-driven collection strategies across customer segments (pre-due, bounce, NPA, write-off, settlements).
- Build predictive models using statistical techniques (e.g., logistic regression, random forest, XGBoost) to:
- Predict bounce probability.
- Prioritize recovery efforts.
- Identify high-propensity-to-pay customers in write-off pools.
- Design and execute customer segmentation strategies for differentiated collection actions (e.g., auto-cure, legal communication, settlements).
- Collaborate with digital partners (e.g., CreditMate, Paytm, Credgenix) for low-cost, digital recovery interventions like WhatsApp/SMS/BOT campaigns.
- Monitor the performance of collection campaigns using BI tools (Power BI, Tableau) and deliver actionable insights.
- Optimize field and tele-collection agent allocation through capacity planning and portfolio-level analysis.
- Coordinate with Data Science, Legal, Risk, and Product teams for end-to-end strategy execution and compliance alignment.
- Ensure all strategies are aligned with regulatory and compliance requirements.
Key Skills & Competencies:
- Technical Skills:
- Python, SQL, PySpark
- Statistical modeling (Logistic Regression, Decision Trees, Random Forest, XGBoost)
- Power BI / Tableau
- SAS (added advantage)
- Domain Expertise:
- Collections & Recovery – Retail Lending (Secured & Unsecured)
- Bounce management and NPA resolution
- Digital debt collection strategy
- Bureau data interpretation and usage in strategy
- Soft Skills:
- Strong analytical mindset with solution-oriented thinking
- Effective communication for cross-functional stakeholder management
- Ability to handle large datasets and draw business insights
- Innovation mindset for continuous improvement in strategy
Preferred Qualifications:
- Bachelor's degree in Engineering / Statistics / Economics / Finance or related field
- 3–6 years of experience in Collections Strategy / Data Science in BFSI/NBFC/Fintech domain
- Hands-on experience in managing digital and data-driven recovery initiatives
Nice to Have:
- Experience working with external recovery/digital partners
- Exposure to Retail Lending portfolios like Credit Cards, Personal Loans, Business Loans
- Awards or internal recognitions for performance in collections strategy or data science
if you are interested kindly share your cv
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