- CDI, Plein-temps
- Anson McCade
- Hong Kong
- Competitive base salary plus pnL driven bonus
Data Scientist – Systematic Trading
My client are a leading systematic asset manager with offices globally, they trade across asset class and time horizon. They are looking to hire a Data Scientist to work as part of their small intraday trading team in HK, this is a front office role sitting on the desk. The ideal candidate will have good knowledge of supervised / unsupervised machine learning techniques, specialising in predictive modelling/forecasting.
This is a fantastic opportunity to join a team with a long and successful track record but at an early stage of the funds life, so the environment, still has a start-up/entrepreneurial feel but with significant upside potential and very good infrastructure/technology/resources.
Overview of Position:
- Analyze large data sets using advanced statistical methods to identify trading opportunities.
- Develop a strong understanding of market structure of various exchanges and asset classes.
- Research and implement strategies within the firm’s automated trading framework.
- Quantitative background - includes degrees in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics.
- Strong python coding: experience with Numpy / Pandas / Scipy.
- Experience with machine learning libraries (scikit-learn, keras, tensorflow, ...).
- Experience with C++ is a plus.
- Good knowledge of supervised / unsupervised machine learning techniques
- Background in predictive modelling/forecasting
- Will consider candidates from inside and outside of finance
- Curious, creative and self-directed
- Show strong interest for data and science in general
- Good analytical and synthetic mind
- Strong communication skills and ability to work well with colleagues across multiple regions.
- Ability to work well under pressure.
• Team has very profitable / long track record (20+ years )
• Start-up/entrepreneurial feel
• Major $bn fund launch – very well capitalised
• Very good infrastructure/technology/resources