Quant Researcher/Trading Strategist

Job Type
Emp Type
Full Time
Salary Type
Job ID

Job Description


Our client is a Global Leading Quant Funds with a competitive AUM in the industry. They work on a diversity of asset classes and strategies. The trading team comes from top-notch markets and schools. 


  • Promote all aspects of quant strategy through in-depth exploration and research of data and statistical methods
  • Flexible use of the latest programming and analysis tools to extract patterns in multivariate data such as microstructure, transactions, fundamentals, and events 
  • Applied patterns and algorithms through rigorous linear, nonlinear, and machine-learning methods including modeling 
  • Responsible for the development, construction, testing, optimization, and risk management of strategies, as well as evaluating strategy performance
  • Strong STEM academic background in Statistics, Physics, Mathematics, Engineering, and Computer Science
  • 3-5 years of experience in trading/machine learning/quants/data analysis
  • Strong in Python 
  • Ability to excel at both open-ended research explorations and time-sensitive concrete projects
  • Preferred to have experience in Mid-High Frequency, Data Mining, and Machine Learning experience
  • Participants in competitions such as WorldQuant or Kaggle is a plus
  • Candidates with PnL Track records will be considered as Portfolio Managers
  • Competitive package in the industries 
  • Flexible working schedule 
  • High Retention Rate
  • International and dynamic culture