• CDI, Plein-temps
  • Anson McCade
  • 2018-08-14
  • Hong Kong
  • Competitive base salary plus pnL driven bonus
  • Plein-temps

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.

Requirements

  • 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

 
Personal characteristics

  •  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.

Company profile:

•         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

 

Hong Kong Hong Kong Hong Kong HK