Data Scientist (Financial Services)


  • Translate business problems into data science projects that can be resolved using analytical techniques and mathematical modeling
  • Plan and execute the development of analytical/machine learning solutions from initial design to model development, model validation, implementation, prototyping and testing.
  • Break down business problems and recompose them in formulations that are solvable by analytical techniques and modelling
  • Work with data analysts and engineers to identify, process and wrangle the data
  • Evaluate experiment outcomes to draw actionable conclusions
  • Present key findings and actionable recommendations to senior management and other stakeholders
  • Work with tech teams to deploy data models across different channels, customer and back-office platforms
  • Lead and train data analysts on advanced analytics and model building tools and techniques


  • 3-5 years of relevant quantitative and qualitative research and/or analytics experience
  • The ability to come up with solutions to loosely defined business problems by leveraging pattern detection over potentially large datasets
  • Experience using machine learning algorithms
  • Proficiency in statistical analysis, predictive/prescriptive analytics, and optimization algorithms
  • Experience in data wrangling, analytics, transformation, feature engineering and modelling using programming tools such as Python, Spark or R
  • Proficient in SQL
  • Experience with Cantonese / Mandarin Text and Speech Analytics / Natural Language Processing (NLP) is an advantage
  • Experience in programming with Java, Python and big data frameworks like Hadoop and related technologies (HDFS, MapReduce, Hive, Impala, Pig)
  • Strong communication and interpersonal skills
  • Familiarity with visualization tools like Qlikview, Excel, PowerPoint and/or Tableau
  • Ability to apply visualization skills to present/ communicate information

Job Details

  • Negotiable
  • Hong Kong
  • Contract


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