Job Position | Company | Posted | Location | Salary | Tags |
---|---|---|---|---|---|
Gravity Team | Latvia | $90k - $240k | |||
Falconx | Remote | $84k - $100k | |||
Gravity Team | Remote | $100k - $250k | |||
Kronosresearch | Remote | $105k - $112k | |||
Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Kronosresearch | Remote | $105k - $112k | |||
Neutrl Labs | New York, NY, United States | $87k - $87k | |||
Warlock Labs | Remote | $174k - $274k | |||
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 |
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- Develop and iterate high-frequency trading strategies with focus on Forex and Crypto /OTC.
- Build and optimize predictive models and signals for execution, hedging, and post-trade analysis.
- Own the forex trading pipeline — from rate tracking, market making logic, to monitoring and deployment.
- Collaborate on improving fiat hedging, exotic currency flows, and OTC settlement logic.
- Analyze market microstructure and execution performance to improve Sharpe and reduce slippage.
- Help evolve our asset allocation logic — we actively manage assets across 30+ exchanges daily.
- 5+ years of experience in high-frequency or proprietary trading (crypto or traditional).
- Prior work in a high-frequency Forex environment, fiat market making, or involvement with a low-latency trading/execution system.
- Hands-on experience trading Forex or OTC markets.
- Knowledge of forex markets, FX instruments, and price discovery for various currencies — from majors to exotics.
- Solid experience in hedging logic, managing fiat settlement flows, or optimizing asset rebalancing across multiple exchanges.
- Deep understanding of market microstructure and how to design systems that extract edge from it.
- Proven track record in building or contributing to automated trading strategies using real capital and executing at $100K–$1M+ daily volume.
- Strong ability to analyze PnL, post-trade statistics, and fine-tune strategies to optimize Sharpe ratio, turnover, and drawdowns.
- Advanced proficiency in Python, applied statistics, and predictive modeling.
- Able to design and maintain robust trading infrastructure, including real-time monitoring, execution diagnostics, dynamic parameter tuning, and automated risk controls.
- 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.
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.