Quantitative Researcher
3 weeks ago
Responsibilities:
- 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
Requirements:
- 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
Highlight:
- Competitive package in the industries
- Flexible working schedule
- High Retention Rate
- International and dynamic culture
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