Execution - HFT Quant Trader

See job description for details

Qube Research & Technologies - Hong Kong - Full time

Salary: Competitive

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT's culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

Your future role within QRT
  • Your core objective is to deliver high quality systematic strategies in production.
  • Monitor continuous trading, strategy performance and all relevant risks.
  • Implement signals and relevant datasets within the global execution platform.
  • Leverage your trading and market expertise by sharing production results, methodology, data sets and processes with other traders and researchers.
  • Monitor signal behaviour and performance of execution platform over time.
  • You would lead the full strategy trading cycle from risk calibration to trade executions.
Your present skillset
  • Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering.
  • Min 3 years of relevant experience
  • Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus.
  • Capacity to multi-task in a fast paced environment while keeping strong attention to detail.
  • Coding skills required in at least one leading programming language (Python, R, Matlab and /or C++, C#).
  • Experience in exploring large datasets across multiple time frames is a plus.
  • Intellectual curiosity to explore new data sets, solve complex problems, drive innovative processes and connect the dots between multiple fields.
  • Capacity to work with autonomy within a collegial and collaborative environment.
  • Trading expertise and market knowledge which can be leveraged in the systematic space.
  • Strong capacity to communicate with technologists, data scientists and traders across the globe.
  • Proven track record in delivering successful systematic strategies.
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