Job Description

Responsibilities: 

  • Work on large scale unstructured data with data science techniques to extract insights to model financial market and advise 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.

Requirements:

  • Master’s degree in a relevant discipline (e.g. math, statistics, optimization, computer science, engineering, etc.)
  • Minimum 3 years of working experience in machine learning field
  • 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.

Others: 

  • Flexi working hours 
  • Competitive remuneration package