What awaits
You here?
- You will work mainly on business opportunity analysis for high-frequency arbitrage strategy, and online exchange - However, we do not require any further knowledge of trading and the market from you (we believe that you will learn it ;-))
- You will be involved in data mining and machine learning projects to identify patterns and create forecasts to predict future behaviors for the H-F trading strategy
- You will be “playing” with a wide range of data from market data to social mentions, sentiment, text, video, or image analysis
- Communication and interpretation of insights, trading views, and ideas to the team will be important
Positon
Requirements
- Good knowledge of Python, R or Matlab, and SQL
- Good business sense and the capability of thinking holistically about how insights and deliverables feed into the wider business strategy
- Solid understanding of programming concepts
- Strong communication skills with the ability to communicate your ideas with the team
- To be able to work in a team as well as on your own
We appreciate your experience with a machine learning framework such as Tensorflow, Keras, Pytorch.
What we
Offer to you
- Full-time position with flexible working hours and the possibility to work fully remote
- Indefinite agreement
- Both possibilities to work as an employee or freelancer
- Unlimited PTO (if the work is done)
- Bonus for self-education (training programs, courses, and workshops of your choice)
- HW equipment according to your wishes
- Possible relocation package for foreigners
- Modern offices by the Metro B in Prague, Czech Republic — the heart of Europe
- Work on long-term challenging projects in an interesting area of cryptocurrencies, fintech, and trading
We will love you
Even more if
- You are interested in cryptocurrencies or have active experience with them
- You are the curious explorer thriving to reveal new directions and test your ideas
- You base your opinions on data, but don’t cling to it in the face of good arguments
Instead of a CV, you can send your LinkedIn profile.
