What You Will Learn:

  • 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 setting, generate analysis report
 

What We Look For:

  • Undergraduates or graduate students from a recognised university in statistics, mathematics, computer science and related fields
  • Understand popular machine learning models such as tree models, regression models, classification model, survival analysis
  • Good coding skill using SQL, Python and Spark
  • Proactive, can-do attitude, quick learner, structured thinking, passionate with data and models
  • Full-time interns preferred
  • Part-time intern who can commit at least 3 working days are also welcome to apply

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