Reinforcement Learning Specialist


Hong Kong

Target profile

You will love this job if:

  • You are pioneering and innovative and want to be part of the cutting-edge and disruptive crypto-currency world
  • You enjoy end-to-end application development from requirement collection to production support
  • You have a passion to automate trading and its peripherals to maximize benefits at minimal manual intervention
  • You are eager to learn new knowledge in both financial and technical fields

Team / Role

As a Reinforcement Learning Specialist, you will:

  • Design, develop, and implement advanced deep reinforcement learning models for quantitative trading applications.
  • Conduct in-depth research and experimentation to explore new RL techniques and their potential applications in financial markets.
  • Collaborate with the quantitative research team to integrate RL models into existing trading strategies and systems.
  • Optimize and fine-tune RL models for performance, scalability, and robustness in live trading environments.
  • Stay up-to-date with the latest advancements in deep learning, reinforcement learning, and their applications in finance.

Required skillset

You should get in touch if:

  • You hold advanced degree (ideally a PHD) in Computer Science, Machine Learning, Statistics, or a related quantitative field.
  • You have advanced training and deep understanding of Deep Reinforcement Learning techniques, algorithms, and their theoretical foundations.
  • You have solid experience in deep learning model design, implementation, and optimization using frameworks such as PyTorch/TensorFlow/JAX.
  • You have strong programming skills in Python, with proficiency in high-performance languages like C++/Rust and parallel programming.
  • You familiar with quantitative finance concepts, financial data analysis, and trading systems is a plus
  • You have the ability to conduct independent research and contribute to cutting-edge solutions

If interested, please submit your resume together with your transcript (for recent graduates) for consideration.

If you are interested, submit your application now.

 

Apply now