Analyst Jobs at Kronosresearch
There are 27 Web3 Jobs at Kronosresearch
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| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Kronosresearch | Remote | $89k - $102k | |||
Kronosresearch | Remote | $69k - $75k | |||
Kronosresearch | Remote | $59k - $62k | |||
Kronosresearch | Remote | $71k - $85k | |||
| 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 | $27k - $70k | |||
Kronos Research | Taipei, Taiwan | $59k - $66k | |||
Kronos Research | Taipei, Taiwan | $32k - $81k | |||
Kronos Research | Shanghai, China | $63k - $77k | |||
Kronos Research | Taipei, Taiwan | $32k - $81k | |||
Kronos Research | Singapore, Singapore | $67k - $76k | |||
Kronos Research | Taipei, Taiwan | $59k - $62k | |||
Kronos Research | Taipei, Taiwan | $89k - $102k | |||
Kronos Research | Taipei, Taiwan | $89k - $102k | |||
Kronos Research | Taipei, Taiwan | $71k - $80k | |||
Kronos Research | Taipei, Taiwan | $54k - $66k |
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