Key Responsibilities

- Own the end-to-end delivery of models/algorithms across customer life cycle; 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

Positive To Have Skills

- Good 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

📌 Principal/Sr Data Scientist (Haryana)
🏢 Comviva
📍 Haryana