Manager - Collection Strategy and Intelligence

Overview

About the Team 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 fo

What you'll do

• About the Team 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..

Requirements

• 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 leadership visibility: Communicate insights, trade-offs, and outcomes clearly to senior stakeholders

Skills