Job Description

As a Shopee data scientist for risk modelling, you may contribute your talent in our exciting projects in some of the following ways:

  •  
    Work on retail and SME finance products such as consumer lending, personal finance, seller loan and so on
  • Analyze customer behaviour pattern, build models and tools to reduce fraud risk in different aspect, for example, customer information verification, skip tracing, anti cash-out, non-starter detection and so on
  • Collaborate closely with the business team. Translate business needs and insight into machine learning models.
  • Analyze massive data such as customer profiling, e-commerce transaction, text, image and time series.Feature engineering and proof of concept in a fast pace and maintain data pipeline and feature pool

Requirements

  • 3-5 years relevant credit or antifraud model development experience
  • Familiar with popular machine learning models such as boosting trees, regression models
  • Good coding skill using SQL, Python and Spark
  • Eager to learn new things and has passion in work
  • Take responsibility, team oriented, result oriented, customer oriented
  • Prefer to have some big data experience
  • Experience in network analysis is a plus

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