Senior Data Scientist

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

• 5 years and above experience as a Data Scientist or Data Analyst
• Large market experience (USA, China, India etc) required
• Degree in Computer Science / Statistics / Mathematics / Financial Engineering or other quantitative field is a must
• 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 data mining
• 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
• Exposure to algorithm trading and knowledge of market microstructure is a plus
• 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
• Team player who is independent and collaborative