Senior Data Scientist - Python/Spark (3-6 yrs)

Roles & Responsibilities :

1) 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

2) 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

3) Collaborate with credit policy/portfolio mgmt. team to drive P&L outcomes.

4) Building reports for model monitoring and drive enhancements

5) Solid expertise in end-to-end risk model lifecycle management (develop, deploy, monitor)

6) Previous hands on in credit, fraud, churn model development and deployment

7) Previous experience in PD/EAD/LGD model development/validation

8) Experience in CSI/PSI model monitoring process

9) 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.

10) 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

11) Good to have :

- Good business understanding of the fintech/consumer finance space

- Experience in working with credit card / personal lending space, fintech hands on experience in working with Telecom data