Source description
About the role
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 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.
What You’ll BE Doing
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• Operate automated latency-sensitive trading systems
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• Monitor the systems’ executions and open positions
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• Adjust system parameters based on market conditions
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• Manually trade to reduce risk when necessary
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• Suggest automation and improvements to the systems
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• Communicate relevant news, market events, and system behavior to team members
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• Stay current with system functionality
What WE Look FOR IN YOU
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• 3+ years of algorithmic trading experience
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• A proven track record in the last 2-3 years
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• Having your own trading strategies/ideas
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• 1+ years experience in Python
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• Performs well in a remote/hybrid team with variable, project-based responsibilities
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NICE-TO-HAVE:
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• Experience with international HFT companies and hedge funds
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• Performance in any quantitative field or contest (hackathons, Olympiads, academic contests, etc.)
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WHY SHOULD YOU JOIN OUR TEAM?
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• Great challenges with fast feedback loops
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• A welcoming group of highly qualified international professionals
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• Great corporate culture with internal events and surprising commitment to fostering a supportive and empowering environment
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• Cutting-edge hardware and technology
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• Work remotely from anywhere in the world
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• Access any of our global offices anytime
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• Flexible schedule
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• 40 paid days off
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• Competitive salary and performance-based bonuses
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