Quantitative Researcher/Trader

7 days ago


Hong Kong, Central and Western District, Hong Kong SAR China Qube Research & Technologies Full time
About Qube Research & Technologies

We are a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. Our company culture is built on a scientific approach to investing, combining data, research, technology, and trading expertise to solve complex challenges.

Your Future Role

As a Quantitative Researcher/Trader, your core objective is to create high-quality predictive signals by leveraging access to large and diversified datasets. You will identify statistical patterns and opportunities, share and discuss research results, methodology, data sets, and processes with other researchers, and implement the signals and relevant datasets within our global execution platform.

Key Responsibilities
  • Develop and implement high-quality predictive signals
  • Identify statistical patterns and opportunities in large datasets
  • Collaborate with researchers to share and discuss research results, methodology, data sets, and processes
  • Implement signals and relevant datasets within our global execution platform
  • Monitor signal behavior and model performance over time
Requirements
  • Minimum 4 years of relevant experience with a strong track record
  • Advanced degree in a quantitative field such as data science, statistics, mathematics, physics, or engineering
  • Strong knowledge in statistics, machine learning, NLP, or AI techniques is a plus
  • Ability to multitask in a fast-paced environment while maintaining 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
  • Ability to work with autonomy within a collegial and collaborative environment
  • Strong ability to communicate with technologists, data scientists, and traders across the globe
  • Proven track record in delivering successful systematic strategies

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