Quantitative Researcher
Eqvilent, Remote
The role
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 will do
- 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 you need
- 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
About 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.
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Source: the Eqvilent Greenhouse job board. We last checked this job 5 h ago. We first saw it 5 days ago. A job on a job board does not always mean that the team interviews people now. We found this job board in a public list. We did not yet compare it with the careers page of the company.