Remote Quantitative Analyst Jobs in Web3
40 jobs found
web3.career is now part of the Bondex Ecosystem
| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Kronosresearch | Remote | $89k - $102k | |||
Lido | Remote | $120k - $140k | |||
Gravity Team | Remote | $100k - $250k | |||
Kronosresearch | Remote | $27k - $70k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Cruz Money Pty Ltd | Remote |
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Confusion Capital | Remote | $180k - $220k | |||
Confusion Capital | Remote | $180k - $220k | |||
Confusion Capital | Remote | $180k - $220k | |||
Token Metrics | Barcelona, Spain | $89k - $102k | |||
GSR Markets | Remote | $180k - $220k | |||
Asymmetric Capital | Remote | $72k - $110k | |||
Token Metrics | Panama City, Panama | $89k - $102k | |||
Token Metrics | Jakarta, Indonesia | $89k - $102k | |||
Token Metrics | Casablanca, Morocco | $89k - $102k | |||
Token Metrics | Cairo, Egypt | $89k - $102k |
Job Description We are looking for a Quantitative Analyst for Crypto Options to help develop pricing models, automated quoting systems, and internal research infrastructure. The role involves quantitative modeling, data processing, and system automation in a high-performance trading environment. You will work closely with the team lead and gain hands-on exposure to advanced financial engineering and real-world derivatives implementation. Fresh graduates or candidates with less than two years of experience are welcome to apply. A strong interest in financial engineering matters more than prior industry experience. Responsibilities
Build and validate pricing models Develop payoff engines and simulation frameworks Implement data pipelines for research & calibration Contribute to automation tools and internal infra
Requirements
Degree in Math / Physics / Engineering / CS or other quantitative fields Exceptional mathematical skills (calculus, statistics, time-series, linear algebra) Strong passion for derivatives pricing & financial engineering Proficient in Python (numerical computing) Familiar with Linux command-line Fluent in database usage & data manipulation Strong communication & teamwork
Good to have
Numerical methods / PDE experience Machine learning background Options trading or volatility modeling knowledge Proficiency in C++
What you will gain
Derivatives pricing theory and financial engineering Numerical methods and model implementation Volatility modeling and structured product design Real-world integration of quant models into production systems