Quantitative Trader Jobs in Web3
49 jobs found
Job Position | Company | Posted | Location | Salary | Tags |
---|---|---|---|---|---|
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 | |||
Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
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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OKX | Hong Kong, Hong Kong | $105k - $150k | |||
B2C2 | Remote | $94k - $110k | |||
OKX | Hong Kong, Hong Kong | $105k - $120k | |||
Stealth | New York, NY, United States | $140k - $150k | |||
Stealth | New York, NY, United States | $140k - $150k | |||
Crypto.com | Coral Gables, Florida | $140k - $180k |
Warlock is a crypto-native market maker and solver, we’re seeking an MEV engineer to drive innovation and build out cutting edge trading systems. In this role, you'll dive deep into the frontiers of MEV, DeFi and cryptoeconomics and collaborate on multiple projects spanning different codebases. We specialize in market making, liquidity provision and a broad range of on chain operations.
What You'll Do:
- Investigate new opportunities and strategies in the MEV and DeFi ecosystem
- Build out trading systems for our atomic and non-atomic strategies
- Analyze complex protocols, smart contracts, and market dynamics
- Gather, curate & analyze data within the MEV space to drive trading decisions and outcomes
- Develop models and simulations to validate strategies and optimizations
- Proficiency programming in Rust
- Familiarity with smart contract development, the EVM and MEV
- High level understanding of high-frequency market making strategies
- Strong background in statistics and quantitative methods
- Familiarity with Linear for project management
- An advanced degree in Computer Science, Mathematics, Physics or a related field
- Open-source contributions or independent research publications
- Research track record in cryptoeconomics, DeFi or MEV
- Well capitalized with highly competitive compensation
- Fully remote, async work environment, team offsites
- Budget for research equipment, publications and conference attendance
- Collaborative, high-caliber team with background from organizations like Citadel, Tower Research, CERN and Bloomberg
- Opportunity to shape a nascent field with massive potential
- For US employees: 401k, Health, Vision, Dental, PTO, HSA
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.