Mid-Low Frequency Quant Researcher
Principal Responsibilities
- Apply quantitative research techniques to financial data to develop innovative predictive signals: this includes the full pipeline from idea generation, data gathering, research/analysis, through to signal implementation
- Deploy state-of-the-art statistical learning technologies and software packages
- Enhance technology toolset for researc
Preferred Experience
- No prior experience in the investment field is required;
- Bachelor, Master or Ph.D. degree in a quantitative subject such as Statistics, Computer Science, Machine Learning, Applied Mathematics, Engineering or related fields
- A track record of exceptional accomplishment in your field, including conducting original research
Required Technical Skills
- Strong statistical and machine learning skills and knowledge
- Strong programming skills in Python (Pandas, Numpy, etc.)
Preferred Technical Skills
- Working knowledge of Kdb/q is a plus
- Working knowledge of C++ is a plus
- Experience with machine learning packages (e.g. Sklearn, TensorFlow, PyTorch, etc.)
Highly Valued Relevant Experience
- Experience working with large and diverse datasets
- Experience applying NLP
Other Relevant Skills And Experiences
- Strong critical thinking ability
- Strong written and spoken communication skills in Mandarin
- Strong English language written and oral communication skills
- Self-motivated and dare to tackle difficult questions
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