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, quantitative finance 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 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
