Deep Learning Specialist - Permanent

HONG  KONG - QUANT

ABOUT  THE  ROLE

We are looking for a self-started reinforcement learning specialist to conduct quantitative research in digital assets using deep learning methods, you will receive feedback from the quantitative trading in digital assets to optimise the reinforcement learning models.

You will be a central and active part of a dynamic, pragmatic and collaborative environment and a diverse group of people working in different setups and locations.

We expect from each other highest quality work, adaptive thinking, the ambition to have an impact, contrarian views and to boldly push into unknown territory while maintaining vision and responsibility.

REQUIREMENTS

  • Master degree in STEM with min. 2 years industry experience, or PhD with solid knowledge of reinforcement learning theory will be considered
  • Passion and hands-on experience in applying reinforcement learning methods
  • Strong in Python with extensive experience in deep learning libraries

APPLICATION PROCESS

  • The process will consist of interviews with future team partners via calls and face to face meetings
  • Please apply with a CV and convincing cover letter on why would you like to be at this position, with your salary expectation and earliest availability by email:

JOIN@FINFABRIK.COM

APPLY  NOW >