Key Responsibilities
• Develop innovative credit risk / churn / usage models using mobile wallet transaction data, Call data, Telecom usage data, customer bureau data etc
• Partner with the Data Engineering team to define the required data pipelines to build and enhance the feature bank (foundational capability) to build/deploy the various ML algorithms both for batch and real time use cases
• Collaborate with credit policy/portfolio mgmt. team to drive P&L; outcomes.
• Building reports for model monitoring and drive enhancements Required Qualifications & Skills
• Solid expertise in end-to-end risk model lifecycle management (develop, deploy, monitor)
• Previous hands on in credit, fraud, churn model development and deployment
• Previous experience in PD/EAD/LGD model development/validation
• Experience in CSI/PSI model monitoring process




• Hands on experience in data extraction using SQL/Pyspark SQL; data cleaning, feature creation and building models using Py Spark/Python on Spark; Scale will be a plus.
• Previous exposure to below algorithms (preferably multiple):
• Logistic Regression
• Random forest
• XGBOOST
• Markov Chain
• PSI/CSI for model monitoring
• Strategy performance tracking and swap in / swap out analysis
• Strong entrepreneurial drive Must Have Skills
• Positive business understanding of the fintech/consumer finance space
• Experience in working with credit card / personal lending space, esp fintech
• Hands on experience in working with Telecom data

📌 Senior Data Scientist (Gurugram)
🏢 Comviva
📍 Gurugram