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 - Effectively use programing tools to model data and conduct strategy backtesting and optimization
- 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 from top university, preferably majors in Mathematics / Science/ Quantitative Finance
- Solid quantitative and analytical skills, and experience in back-testing/simulation
- Proficient in a programming language such as python, C++ or C, familiar with code acceleration methods, and have a good understanding of system architecture, framework and deployment
- Fluent in both English & Mandarin in order to communicate effectively with colleagues across different regions
- Entrepreneurial mindset and adaptability to a dynamic environment
