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Quantitative Researcher
Eqvilent
Employment Type
Full Time
Location
Dubai
Experience
Mid Level
Job Description
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 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 equipped with cutting-edge ML solutions, including Deep Learning (DL) and Reinforcement Learning (RL).
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 behaviour 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 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 (Kaggle, 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
- Cutting-edge hardware and technology
- Comfortable office in Dubai and other locations or remotely anywhere in the world
- Flexible schedule
- 40 paid days off
- Competitive salary and performance-based bonuses
How to Apply
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