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
Next Step
Click “apply” or send resume to: Kassie [email protected]
EA Licence No.91C2918| Personnel Registration No. R1981563
