- The candidate will report directly to the Investment Director.
- Work closely with Investment team and the quantative research team to build Artificial Intelligence/Machine Learning (AIML) trading algorithms.
- Employ the latest data science and machine learning techniques to analyze financial market data to identify new patterns and contribute to developing new (AIML) trading strategies.
- Conduct data analysis, algorithm programming, optimization, implementation and back-testing on AIML algorithmic trading models.
- The candidate will have to work effectively in a dynamic and diversified team environment
Requirement:
- A Masters degree or above in Mathematics, Statistics, Computer Science, Data Science or related disciplines
- Working experience and solid understanding in Time Series Modeling, Simulation and Clustering algorithm are highly advantaged
- Proven experience in machine learning, data science using Python and/or R; Database skills: RDBMS; Programming skills: Java, C/C++
- Experience in software development, including data structures, algorithms, software design and fundamental programming concepts
- Strong understanding of quantitative analysis and/or mathematics including probability, statistics, etc.
- Excellent communication skills to speak to both business users and technology teams
- Interest and desire to learn about financial markets
- Proficient in Chinese and English
If you are interested in this position, please email your CV and expected salary to [email protected]