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Location
Remote/Hybrid
Seniority
Middle · 3+ years exp
Overview
Company
Impact
Profile match

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 a 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. The one who embodies intelligence, calmness, and composure. We have a lot of financial data, robust infrastructure, and a highly skilled professional team.

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
  • Suggest automation and improvements to the systems
  • Communicate relevant news, market events, and system behavior 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 the 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 (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
  • Great corporate culture with internal events and surprising commitment to fostering a supportive and empowering environment
  • Cutting-edge hardware and technology
  • Work remotely from anywhere in the world
  • Access any of our global offices anytime
  • Flexible schedule
  • 40 paid days off
  • Competitive salary and performance-based bonuses
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