Manager, Credit Risk Analytics

Headquartered in India, its flagship product, the PhonePe digital payments app, was launched in Aug 2016. As of April 2025, PhonePe has over 60 Crore (600 Million) registered users and a digital payments acceptance network spread across over 4 Crore (40+ million) merchants. PhonePe also processes over 33 Crore (330+ Million) transactions daily with an Annualized Total Payment Value (TPV) of over INR 150 lakh crore. 

PhonePe’s portfolio of businesses includes the distribution of financial products (Insurance, Lending, and Wealth) as well as new consumer tech businesses (Pincode - hyperlocal e-commerce and Indus AppStore Localized App Store for the Android ecosystem) in India, which are aligned with the company’s vision to offer every Indian an equal opportunity to accelerate their progress by unlocking the flow of money and access to services.

At PhonePe, we go the extra mile to make sure you can bring your best self to work, Everyday!. And that starts with creating the right environment for you. We empower people and trust them to do the right  thing. Here, you own your work from start to finish, right from day one. PhonePe-rs solve complex problems and execute quickly; often building frameworks from scratch. If you’re excited by the idea of building platforms that touch millions, ideating with some of  the best minds in the country and executing on your dreams with purpose and speed, join us!

We plan to expand our risk strategy team, and we are looking for a credit risk manager who will work on building risk strategies, risk models and risk policy implementation for our lending business. The person will work in a dynamic environment, and with cross-functional teams to help manage risk while continuously supporting the business to grow. They will be expected to work on:

• Build Risk strategies to manage Fraud and Credit Risk for Lending business
• Evaluate alternate data sources to solidify the risk management 
• Build the best risk models 
• Mentor risk analysts to deliver analysis, models and policy implementation with high pace and high level of accuracy
• Be able to clearly communicate results and recommendations to various stakeholders
• Evaluate the effectiveness of the solutions and improve upon them in a continuous manner
• We expect them to have a mix of a strong technical background and to have a keen eye for business implications of their work 

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