Financial Services at Meesho is building one of the largest digital lending businesses for Bharat. As we scale to millions of users, the next phase of growth will be defined by how intelligently we manage credit performance across the lifecycle — from underwriting to repayment and recovery.
The DARC (Data Science, Analytics, Risk & Collections) team acts as the decisioning engine for this business — combining data, risk, and systems thinking to drive portfolio outcomes.
About the Role: Credit Portfolio Optimization
This is a high-ownership, high-impact role focused on maximizing portfolio performance post-disbursement.
You will act as the central problem solver for credit performance — identifying where we are losing money across the repayment lifecycle, diagnosing root causes, and designing interventions that improve outcomes at scale.
This is not a collections or operations role.
This is a strategy + systems role with direct impact on metrics like NCL, cure rates, cost-to-recovery, and customer lifetime value.
What You Will Do
Own portfolio performance problems end-to-end Identify leakages across the repayment lifecycle (early delinquency, roll-forwards, low cure, high cost) and define structured problem statements
Drive first-principles problem solving Break down ambiguous problems into hypotheses, design experiments, and quantify impact
Design and test interventions at scale
Across
Customer segmentation
Communication strategies
Payment nudges and incentives
Policy and product levers
Channel mix (digital vs assisted vs agency)
Build intelligence layers on top of collections
Work With DS/Analytics To Create
Propensity / payback models
Early warning signals
Prioritization frameworks
Close the loop with risk and product
Use Collections Insights To Influence
Underwriting strategies
Fraud detection
Product design decisions
Partner with OPS teams to drive execution Ensure strategies translate into measurable on-ground impact
Drive leadersh