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 finance products such as consumer lending, personal finance.
- Collaborate closely with the business team. Translate business insight into machine learning models.
- Analyze massive data such as customer profiling, text, image and time series.
- Present the business insight of the data to business team in a clear way.
- Processing realtime big data using Spark, HBase, Kafka and other tools
- Feature engineering and proof of concept in a fast pace
- Maintain data pipeline and feature pool
- Create dashboard and continuously monitor data quality and model performance
- Review live performance of the model and keep iterate the model
- Do case study and find potential risk in the financial business
- Eager to learn new things and has passion in work
- Take responsibility, team oriented, result oriented, customer oriented
- Good coding habit in Python and is able to solve problems in a fast pace
- Good SQL skills to show data insight in a fast pace
- Familiar with popular machine learning models in financial applications such as XGBoost, random forest
- Prefer to have some big data experience in using Spark, Kafka, HBase
- Prefer to have some finance knowledge especially in microfinance