Assist data scientists to build risk related models for credit user whitelist screening, credit underwriting, customer management, anti‑fraud, collection and so on to support our credit business
Assist in analysing data such as e‑commerce transaction, e‑wallet payment and other customer behaviour data
Perform data mining to extract useful information of risk assessment
Assist in exploring and studying machine learning methodologies, and perform comparison for different models under different model settings, generate analysis report
Requirements
Undergraduates or graduate students from a degree in statistics, mathematics, computer science and related fields
Understand popular machine learning models such as tree models, regression models, classification model, survival analysis et al.