Quantitative Researcher

Responsibilities

• 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 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

Requirements

• 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

Benefits

Additional Information

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.

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Company Intel

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