| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Kronos Research | Shenzhen, China | $25k - $85k | |||
Drift Protocol | Remote | $45k - $100k | |||
GSR | Singapore, Singapore |
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GSR | Zug, Switzerland | $28k - $33k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
GSR | Singapore, Singapore | $28k - $33k | |||
GSR | London, United Kingdom | $28k - $33k | |||
GSR | Singapore, Singapore | $28k - $33k | |||
GSR | New York, NY, United States | $28k - $33k | |||
Sygnum Bank AG | Switzerland | $72k - $100k | |||
Sygnum Bank AG | Switzerland | $72k - $100k | |||
Galaxy Digital Services | Remote |
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Binance | Remote |
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Keyrock | Brussels, Belgium | $28k - $72k | |||
Keyrock | Brussels, Belgium | $28k - $72k | |||
GSR | Singapore, Singapore | $28k - $33k |
This job is closed
Job Description
Kronos is seeking experienced Quantitative Traders with a passion for DeFi trading and a desire to join a reputable fund to continue managing their own desk with related P&L responsibilities. As a Quantitative Trader at Kronos, you will be involved in researching, implementing, and executing strategies, and automating them where applicable.
Responsibilities
- Utilize your creativity and research skills to discover new opportunities for MEV
- Stay up to date with new developments in the DeFi space to create new strategies and enhance existing ones
- Conduct research on potential investments, including reviewing app documentation and smart contract audits, and asking critical questions to founders
- Identify and propose compelling investment opportunities for review and decision making
- Collaborate with other teams to develop and execute trading strategies
Requirements
- Knowledge of the DeFi and Web 3.0 ecosystem, able to implement smart contracts at a fast pace (test required)
- Knowledge of DeFi NFT ecosystem
- An MSc / PhD from a top-tier university in a research-intensive STEM field (Computer Science, Statistics, Mathematics, Physics, Engineering, etc.)
- A passion for developing quantitative trading strategies as well as analyzing and drawing conclusions from large datasets
- At least 3 years of experience in DeFi electronic trading, with a focus on cryptocurrency
- Strong coding skills essential – at least 3 to 5 years of experience coding in Python, Golang, Matlab, or R is required (test required)
- Experience in algorithmic trading, whether personal or professional, is essential
- Excellent analytical and problem-solving skills
- Ability to work independently and as part of a team
- Excellent communication and interpersonal skills
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.