Collection Data Analytics

Technical skills: Sql + Python/ R/ Tableau preferred.

Collections Daily BAU’s -

1. Daily allocations to the collection team.

2. Daily MIS Reporting

3. Monthly MIS reporting.

4. DRR tracking of FTE, TC, Field and Agency

5. Development of new reports as per the requirements and increase the usability of new and existing reports

6. Automation and Enhancement of MIS reports

7. Publishing weekly, monthly MIS and PPTs to stakeholders and regional team

Collection Analytics -

1. Develop a Collections Strategy document encompassing all collections related activities in the Bank and ensure that the processes are followed as laid out in the document

2. Analyzing the data and Implementing different collection strategies with DCA

3. Regular improvement in processes / strategies

4. Develop and implement advanced analytics approaches including statistical modelling

5. Analyze big data (structured and unstructured) and understand trends to provide actionable insights that impact business bottom line.

6. Break down the Loss forecasts into collections roll rates and recovery rates

7. Track Account-to-Collection Ratios (ACR) by bucket to optimize collections performance

8. Segmentation analysis has to be conducted using analytical tools and strategies for each segment have to be deployed across buckets.

9. Devise Champion Challenger programs showing Cost Vs Benefit analysis driving higher resolution rates across products and buckets

10. Analyzing data: Performing quantitative and qualitative analysis on accounts.

11. Developing strategies: Developing collection strategies based on insights from stakeholders.

12. Implementing strategies: Working with the collection strategy support unit to implement and control the execution of strategies.

13. Improving processes: Automating processes, data, and models to improve productivity.

14. Forecasting losses: Increasing the accuracy of loss-forecasting strategies.

15. Segmenting customers: Developing more effective contact strategies by segmenting customers, including behavioral segmentation.

16. Meeting regulatory requirements: Applying individualized collection strategies to meet regulatory requirements.

Why Join Us:

1. A collaborative output driven program that brings cohesiveness across businesses through technology

2. Improve the average revenue per use by increasing the cross-sell opportunities

3. A solid 360 feedback from your peer teams on your support of their goals

4. Respect, that is earned, not demanded from your peers and manager

Compensation :

If you are the right fit, we believe in creating wealth for you

With enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing here. It’s your opportunity to be a part of the story!