Debt Management (DM) function has become increasingly analytics & data driven, with enhanced data capture and ability to implement analytics-led strategies on sophisticated Debt Management systems. The recent technological advancements, availability of recent age tools and the presence of Fintech support, has brought in the scope of further improving automation and controls in the Debt Management operations function. Also, the regulatory scrutiny and need for customer centricity requires Debt Management -operations team to be supported with better customer behaviour, account, product and market insights.
Roles & Responsibilities:
- Lead driving Debt Management productivity and performance through KPIs measurement and insights to bring further efficiencies.
- Improvement opportunities driven through sound data analysis.
- Design, propose and drive Champion Challenger Strategies.
- Drive Agency performance improvements.
- Debt Management Costs Optimization.
- Planning and periodic forecast on allocations and capacity requirements.
- Track current strategy effectiveness and recommend improvements where required.
- Lead driving Debt Management productivity and performance.
- Evaluate different Debt Management models - direct to field, caller-runner models, systems/strategies on repossessions, settlements, AHFS management and disposal, strategies on various legal recourse; skip tracing etc. and bring innovations.
- Leverage information available from different customer touchpoints.
- Analytical inputs to drive higher resolution/dollar-collected at sustainable cost.
- Risk segmentation using propensity to pay/probability to flow forward.
- Differentiated treatment differentiated intensity of interventions, different field collections models, contact-ability resolution basis right time and place to visit.
- Inputs to drive charges collection in early buckets to modify customer behaviour.
- Drive development and adoption of models for right time to contact, tagging for skip tracing, optimum visits per customer type and efficacy of legal recourse product/ stage-wise.
- Models for right stage for settlement, settlement acceptance propensity and right waive percentage.
- Analytical inputs to drive enhance recovery, recovery vintages and debt-sale solutions.