Quantitative Jobs in Web3
246 jobs found
| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Kronos Research | remote | $9k - $11k | |||
Ripple | London, United Kingdom | $15k - $67k | |||
Ripple | London, United Kingdom | $81k - $100k | |||
Ripple | London, United Kingdom | $81k - $100k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
GammaSwap Labs | Remote | $200k - $300k | |||
NOYA Network | Remote |
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Alldus | United States | $84k - $100k | |||
Binance | Asia |
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Investinu Group | United States | $9k - $11k | |||
Paraform | San Francisco, CA, United States | $120k - $180k | |||
Cash App | San Francisco, CA, United States | $152k - $185k | |||
GSR | London, United Kingdom |
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Chainlink Labs | United States | $45k - $92k | |||
Consensys | Remote | $135k - $277k | |||
Crypto.com | Hong Kong, Hong Kong |
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Job Description
As a Quantitative Analyst at Kronos, you can combine risk management, research, and technology disciplines to operate trading strategies across cryptocurrency markets. You will work closely with our world-class quantitative researchers, software engineers, and Alpha researchers to maximize and optimize trading opportunities globally. We have a flat organizational structure that is highly merit-based where top performers are rewarded accordingly.
Responsibilities
- Optimize model configurations based on market conditions
- Utilize and improve existing trading tools to meet trading project requirements
- Monitor risk exposure, PnL, and system status of hundreds of trading processes
- Generate constructive feedback on trading system performance by examining system logs and market data for executions
- Analyze potential trading misbehavior and provide solution
- Cowork with researcher to improve trading strategies
- Communication and coordination across teams
Requirements
- Bachelor's degree in Finance, Economics, Math, Engineering, Sciences (or any quantitative-related major)
- Passionate about trading and capable of doing fast reactions toward the volatile market conditions
- Ability to understand and reason about complex trading systems
- Strong Python programming skills is a must
- Strong work ethic and willingness to deal with trading abnormal incidents even in off-duty hours (since crypto markets operate 24/7 continuously)
- Detail-oriented person with strong problem-solving and multitasking skills
- Must be motivated, dependable, and responsible
- Ability to use sound judgment under pressure
- Basic SQL and/or scripting knowledge in a Linux environment is a plus
- Previous trading experience or financial market concepts is a plus
- Familiarity with cryptocurrency exchanges and DEFI operation is a plus
What is a quantitative career?
A quantitative career is a profession that involves using mathematical, statistical, and computational techniques to solve problems and make decisions in a wide range of industries, including finance, engineering, healthcare, and technology
A quantitative career in Web3 involves using mathematical, statistical, and computational techniques to analyze and optimize decentralized finance (DeFi) protocols, blockchain networks, and other Web3 applications
Some examples of quantitative careers include:
- Quantitative Analyst: A professional who uses mathematical models and statistical analysis to identify and quantify risks and opportunities in financial markets.
- Data Scientist: A professional who analyzes complex data using statistical methods, machine learning, and other techniques to help organizations make data-driven decisions.
- Actuary: A professional who uses mathematical models and statistical analysis to assess risk and uncertainty in the insurance and finance industries.
- Quantitative Developer: A professional who develops and implements quantitative models and trading strategies for financial institutions and other organizations.
- Operations Research Analyst: A professional who uses mathematical and statistical techniques to optimize complex systems, such as supply chains, transportation networks, and manufacturing processes.