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| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Gravity Team | Remote | $100k - $250k | |||
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Tokka Labs | Singapore, Singapore | $105k - $150k | |||
Anti Capital | New York, NY, United States | $105k - $180k | |||
Stealth | New York, NY, United States | $200k - $250k | |||
Keyrock | Brussels, Belgium | $72k - $85k | |||
Gravity Team | Remote | $100k - $216k | |||
Keyrock | London, United Kingdom | $105k - $150k | |||
Kronos Research | Shanghai, China | $140k - $150k | |||
Trilitech | Remote |
| |||
OKX | Hong Kong, Hong Kong | $105k - $150k | |||
B2C2 | Remote | $94k - $110k |
Gravity Team
$100k - $250k
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At Gravity Team, a quantitative proprietary trading firm, we are on the mission to balance the supply and demand across crypto markets around the world.
We are looking for an experienced Algorithmic Trader who has a passion for financial markets and is ready to bring their expertise in creating and optimizing trading strategies.
YOUR KEY RESPONSIBILITIESÂ
- Develop and optimize arbitrage trading strategies while conducting deep research on market microstructures and hedging logic.
- Participate in post-trade analysis to understand execution outcomes and continuously improve trading systems.
- Work on asset management system optimization, ensuring efficient asset allocation across exchanges.
- Focus on long-term research and strategic improvements, contributing your alternative views to enhance system performance.
- Analyze historical data to find inefficiencies, optimize signal parameters, and improve risk management strategies.
WHAT WE EXPECT
- At least 2 years of hands-on experience with algorithmic trading systems.
- Market making and crypto experience is a plus.
- Experience developing simple predictive models and utilizing Python and statistics for research and optimization.
- Knowledge of risk management, hedging, and arbitrage.
- Python skills are a must (Rust is a nice bonus, but not mandatory).
- Ability to read and understand code.
- Strong quantitative and analytical skills with experience working with large datasets.
- Excellent English skills.
- Willingness to work in hybrid setup with on-site presence in Riga (preference will be to candidates in Latvia or wiling to relocate).
OUR PROMISE TO YOUÂ
We offer you hands-on insight into one of the most exciting and lucrative industries today. Our work contributes to transforming the current financial industry and democratizing access to digital goods across the world.
CONDITIONSÂ
- Extremely open idea meritocracy and close to Zero bureaucracy.
- Fast-moving, challenging, and unique business problems.
- Working together with highly talented team.
- Salary up to 20 000 EUR gross a month + profit shares.
- Profit shares are directly linked to your performance and market results, the upside is unlimited.
- Learning & Development budget 3000 EUR a year.
- Benefits that you can combine yourself – free food, bolt taxi, Sports, Spa & Wellness etc.
- Opportunity to participate in global crypto events, making a direct and tangible impact on crypto markets worldwide.
- Flexible working hours, casual work attire and startup atmosphere.
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What does a Quantitative trader do?
A Quantitative Trader is a professional who uses quantitative models and statistical analysis to make trading decisions in financial markets
They work for hedge funds, investment banks, proprietary trading firms, and other financial institutions
In Web3, a Quantitative Trader uses quantitative models and statistical analysis to make trading decisions in decentralized finance (DeFi) and other Web3 applications
They work for DeFi protocols, investment funds, and other financial institutions involved in Web3
The job of a Quantitative Trader typically involves the following tasks:
- Developing and testing trading models for DeFi: Quantitative Traders in Web3 develop and test trading models that use statistical analysis, machine learning, and other quantitative techniques to identify profitable trading opportunities in decentralized finance protocols.
- Conducting market research in Web3: Quantitative Traders in Web3 conduct research on decentralized finance protocols, including analyzing on-chain data, tracking current market trends, and assessing the impact of new developments in the ecosystem.
- Managing risk: Quantitative Traders in Web3 manage risk by developing strategies to limit potential losses and control exposure to market volatility in decentralized finance protocols.
- Executing trades: Quantitative Traders in Web3 execute trades based on their models and research findings, using automated trading systems and other tools to maximize efficiency.
- Monitoring performance: Quantitative Traders in Web3 monitor the performance of their trading strategies, making adjustments as needed to optimize profitability in the rapidly changing Web3 ecosystem.