A one-of-a-kind international company operating on the cutting edge of technology. The company has risen to prominence in the HFT (High-frequency trading) industry in recent years, having built one of the greatest teams of developers and data scientists on the market, including great machine learning expert and top-level data scientist as the company's founder. Our trading activities span across various platforms worldwide, encompassing both traditional and cryptocurrency markets.

We are seeking a Quantitative Researcher with a minimum of 3 years of experience in algorithmic trading. The one who embodies intelligence, calmness, and composure. We have a lot of financial data, robust infrastructure, and a highly skilled professional team equipped with cutting-edge ML solutions, including Deep Learning (DL) and Reinforcement Learning (RL).

WHAT YOU’LL BE DOING:

  • Operate automated latency sensitive trading systems
  • Monitor the systems’ executions and open positions
  • Adjust system parameters based on market conditions
  • Manually trade to reduce risk when necessary
  • Suggest automation and improvements to the systems
  • Communicate relevant news, market events, and system behaviour to team members
  • Stay current with system functionality

WHAT WE LOOK FOR IN YOU:

  • 3+ years of algorithmic trading experience
  • A proven track record in last 2-3 years
  • Having your own trading strategies/ideas
  • 1+ years experience in Python
  • Performs well in a remote/hybrid team with variable, project-based responsibilities

NICE-TO-HAVE:

  • Experience with international HFT companies and hedge funds
  • Performance in any quantitative field or contest (Kaggle, hackathons, olympiads, academic contests etc)

WHY SHOULD YOU JOIN OUR TEAM?

  • Great challenges with fast feedback loops
  • A welcoming group of highly qualified international professionals
  • Cutting-edge hardware and technology
  • Comfortable office in Dubai and other locations or remotely anywhere in the world
  • Flexible schedule
  • 40 paid days off
  • Competitive salary and performance-based bonuses

Apply for this Job

* Required
resume chosen  
(File types: pdf, doc, docx, txt, rtf)
cover_letter chosen  
(File types: pdf, doc, docx, txt, rtf)


Please reach out to our support team via our help center.
Please complete the reCAPTCHA above.