Eqvilent
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:
- 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
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
To apply for this job please visit job-boards.eu.greenhouse.io.
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