Data Scientist
Department : Product Innovation

  • Explore new opportunities and build innovative analytic capabilities;
  • Collaborate with product management and different stakeholders to understand company needs and devise possible solutions / features;
  • Research new ways for predicting and modeling end-user behavior as well as investigating data summarization and visualization techniques for conveying key applied analytics findings;
  • Come up with excellent illustrations and visualizations of data that can easily be comprehended and simplified for non-technical stakeholder audiences, communicating statistical modeling results as measures of the business’s impact;
  • Stay on top of the industry’s trends, in order to provide forward-thinking recommendations to the business;
  • take initiative to experiment with various technologies and tools with vision of creating innovative data driven insights for the business at the quickest pace possible;
  • Curiosity to learn and maintain knowledge and latest technologies in the fields of Data Analytics, Machine Learning, Deep Learning, Artificial Intelligence, Big Data, Cyber Security and Intelligence platforms;
  • Implement full data science process in various applications includes data collection, data cleansing, model training, evaluation, visualization, back-testing and model application; and
  • Perform any other duties as assigned by superior from time to time.

  • Master’s Degree or above holder in Statistics, Computer Science, Machine Learning or equivalent;
  • At least 5 years’ experience in Data Science / Analytics;
  • Strong understanding of machine learning techniques and algorithm;
  • Extensive knowledge and industry experience (5+ years) with Machine Learning development using: Python and R and libraries like Scikit-learn, like NumPy, SciPy, Pandas, Matplotlib and SparkML;
  • Good knowledge and industry experience (2+ years) with Deep Learning development using TensorFlow, Keras, and Theano is desirable;
  • Good knowledge and industry experience (2+ years) with working on Big Data technologies such as Hadoop, HDFS, Kafka, Spark and Spark Streaming and AWS is desirable;
  • Good knowledge of visualization tools such as Tableau, Qlikview Matplotlib (Python), etc is desirable;
  • Good knowledge of database technologies such as SQL and MongoDB is desirable;
  • Great communication skills, especially in explaining complex data problems and solutions;
  • Track record of implementing models that deliver significant sustained business impact; and
  • Data analytics and management experience, gained from the financial services sector is desirable; 
  • Good interpersonal skill and detailed minded; and
  • Good command of spoken and written English and Chinese; Mandarin is an


We offer competitive remuneration package and career prospects to the right candidate. Salary will be commensurate with qualifications and experience. Our attractive remuneration package includes 5-day work week, year-end bonus, performance bonus, dental and medical benefits, employer voluntary contributions to MPF, education allowance, staff well-being sponsorship, birthday leave, marriage leave, family care leave, etc.

Interested candidates please send your full resume stating contact details, current and expected salary to

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