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Job summary
A global trading firm based in Hong Kong is seeking a Quantitative Researcher to develop high-frequency trading strategies. The successful candidate will perform large data analysis for market predictions and collaborate with traders and developers to enhance models. The role requires a minimum of 3 years' experience in quantitative research or trading, strong programming skills (Python preferred), and a graduate or postgraduate degree in machine learning, statistics, or STEM subjects. This position emphasizes teamwork and a culture of innovation.
Qualifications
3+ years experience as a Quantitative Researcher or Trader in high frequency trading.
Proven track record in developing trading strategies.
Strong programming skills, ideally in Python.
Responsibilities
Perform large scale data analysis for market behavior predictions.
Develop high frequency trading strategies.
Collaborate with traders and developers to improve models.
Skills
High frequency trading
Statistical analysis
Machine learning
Market dynamics
Programming (Python preferred)
Education
Graduate & Postgraduate study in machine learning, statistics, or STEM subjects
Job description
A global trading firm based in Hong Kong is seeking a Quantitative Researcher to develop high-frequency trading strategies. The successful candidate will perform large data analysis for market predictions and collaborate with traders and developers to enhance models. The role requires a minimum of 3 years' experience in quantitative research or trading, strong programming skills (Python preferred), and a graduate or postgraduate degree in machine learning, statistics, or STEM subjects. This position emphasizes teamwork and a culture of innovation.