Responsibilities:
- Work on risk model development for retail and SME finance products such as consumer lending, multi-finance, credit-card, SME and so on
- Analyse and conduct feature engineering for massive data such as credit-report, e-commerce, and deploy the feature pipeline
- Evaluate third-party data to decide whether to use for the credit modelling
- Research model methodology and data mining techniques to improve model performance
- Continuously explore the value of data for credit modelling and data product
Requirements:
- 4+ years relevant experience in developing risk model and good understanding of credit risk management
- Good understanding and hands on experience of ML models such as boosting trees, regression models
- Good coding skills using SQL and Python
- Experience in data analysis and feature engineering
- Excellent English, be able to communicate in English fluently.
