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, quantitative finance etc.)
Minimum 5 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 time series 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
Good communication skills, ability to articulate technical concepts and drive discussions with teams
Ability to meet deadlines and work in a fast-paced environment
