
Data Scientist
3 days ago
Job Responsibilities :
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 Qualifications & Skills :
- 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 PySpark/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
Good to have :
- 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
(ref:hirist.tech)
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