Job description


  • Work on large scale unstructured data with data science techniques to extract insights to model financial market and advice team on identifying strategic trades in the financial markets
  • Apply feature engineering on financial market data, social media data, blockchain data and market trends
  • Identify market trend / pattern based on own analysis and present the insights to stakeholders

  • Proficient in Python/C++, and working with databases like SQL, ElasticSearch
  • Strong grasp of key machine learning algorithms and principles, pattern recognition, expertise in supervised/unsupervised learning and reinforcement learning
  • Experience in timeseries forecasting, anomaly detection, user categorization will be advantageous
  • Rich experience in feature engineering, dealing with large scale, noisy and unstructured data • Experience with time series data is compulsory
  • Experience in trading forex, cryptocurrency or other financial product will be a plus
  • Good communication skills, ability to articulate technical concepts and drive discussions with teams
  • Ability to meet deadlines and work in a fast-pace environment

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