Job description

Responsibilities

  • Feature engineering on financial market data and market trends
  • Research on financial market data with purpose of detecting behaviour anomaly and market patterns
  • Develop risk management system for the exchange by identifying the leading factors of market movements and measuring the impact of market fluctuations
  • Enhancing data collection procedures to include information that is relevant for building analytic systems
  • Processing, cleansing, and verifying the integrity of data used for analysis
  • Building models to address business problem
  • Presenting information using data visualization techniques
  • Selecting features, building and optimizing classifiers using machine learning techniques
  • Extending company’s data with third party sources of information when needed
  • Creating automated anomaly detection systems and constant tracking of its performance

Requirements

  • Proven previous experience as a Data Scientist or Data Analyst
  • Degree in Computer Science / Statistics / Mathematics / Financial Engineering or other quantitative field is a must
  • Working experience in Fintech would be preferable.
  • Ability to speak native level Mandarin in order to collaborate with Mandarin speaking colleagues and clients based in Mainland China, who can’t speak English
  • Experience in machine learning application in finance market data, preferably in pattern recognition, anomaly detection. Familiarity with unsupervised algorithms
  • Proficiency in Python/C++/Java/R
  • Working experience with databases like SQL/ElasticSearch
  • Familiarity with AWS and Linux is a plus
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc
  • Problem Solving aptitude
  • Ability to meet deadlines and work in a fast-paced environment

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