He overall objective of the role is transform the credit function of the organisation by using data science for smart decision making.
Responsibilities -
- Setup, Manage and Lead the Data Science team Providing Advanced Analytics, MIS and Digital solutions to Sales, Credit, Collections, and Ops
- Provide strategic inputs and identify business growth opportunities
- Applicant Scorecard for quick, efficient, and statistically validated segmentation of applicants to reduce TAT and improve conversion rate
- Collections Scorecard to identify Self-cure and PD to optimize the cost of collections, improve the Return on Efforts and control the Roll Forward Rate
- Reject Inferencing - To identify the credit policy effectiveness / gaps and the potential to relax our risk parameters
- Collections Optimization Tool - For optimized collections using the Travelling Salesman Problem as our building block
- Liaise with the Senior Management Team and Board of Directors to manage expectations,
- Automation of existing MIS framework using SAS and R to minimize manual intervention and hence the probability of error while computing the reports
- Development of new Reports / Dashboards using SAS and R to improve the visualization and share new insights with the key stakeholders
- Digital: Work with the technology business partner to enable the Mobility Platform to support handheld devices for enabling our salesforce
- New website development
Background & Competencies required
1. Good pedigree
2. Experience of data science in credit intensive organisation
3. Collaboration ability
4. Leadership ability
5. Transformation ability
6. High of energy & initiative
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