Associate Divisional Manager - Data Analytics - Collection Analytics

Education Required- MTech / BE / BTech / MSc in CS or Stats or Maths

Experience Required- 7-10 years' experience in performing descriptive and diagnostic analyses

- Lead the design, development, and deployment of ML/DL models including, Risk of Flow Propensity (roll rate), Self-Pay Propensity & Time-to-Payment (TTP) Models and Ensure real-time integration with LOS/LMS and collections systems to deliver actionable insights at scale

- Drive cost-effective resource allocation across both in-house and agency channels using predictive intelligence to maximize CE (Collections Efficiency) without incremental cost

- Develop data-driven field strategies to identify high-priority customers, recommend Next Best Action, and enable route optimization for field teams to increase recoveries efficiently

- Own the design & execution of digital-first strategies, leveraging propensity models to personalize channel allocation and interventions such as Advance EMI nudges, enhancing customer self-cure rates and reducing field dependency

- Lead monthly performance variance analysis and deep-dive RCAs across acquisition and collection dimensions to explain deviations from plan and suggest course corrections.

- Act as a bridge between analytics and business, presenting project outcomes, key insights, and data-driven recommendations to senior stakeholders and cross-functional leadership

- Experience working in finance industry & should understand end to end customer journey from acquisitions, cross-sell & collection.