About Us: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology.

Key Responsibilities:
Collection Strategy & Analytics -
Develop strategies for all collections related activities and ensure that the processes are followed as planned
Analyzing the data and Implementing different collection strategies with Data Science
Regular improvement in processes & collection strategies. A/B testing, data analysis and iterations.
Develop and implement advanced analytics approaches including statistical modelling
Analyze big data (structured and unstructured) and understand trends to provide actionable insights that impact business bottom line.
Break down the Loss forecasts into collections roll rates and recovery rates
Track Account-to-Collection Ratios (ACR) by bucket to optimize collections performance




Segmentation analysis has to be conducted using analytical tools and strategies for each segment have to be deployed across buckets.
Devise Champion Challenger programs showing Cost Vs Benefit analysis driving higher resolution rates across products and buckets
Analyzing data: Performing quantitative and qualitative analysis on accounts.
Developing strategies: Developing collection strategies based on insights from stakeholders.
Implementing strategies: Working with the collection strategy support unit to implement and control the execution of strategies.
Improving processes: Automating processes, data, and models to improve productivity.
Forecasting losses: Increasing the accuracy of loss-forecasting strategies.
Segmenting customers: Developing more effective contact strategies by segmenting customers, including behavioral segmentation.
Meeting regulatory requirements: Applying individualized co

📌 Program Management (Noida)
🏢 Paytm
📍 Noida