| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Kronosresearch | Remote | $89k - $102k | |||
Okx | Remote | $67k - $75k | |||
Fin | New York, NY, United States | $100k - $175k | |||
Coins.ph | Vila Velha, EspÃrito Santo | $77k - $80k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Chainlink Labs | United States | $108k - $126k | |||
USEReady | United States | $22k - $54k | |||
Alexander Chapman | New York, NY, United States | $74k - $98k | |||
Kraken | United States | $96k - $192k | |||
Bitso | Latin America | $59k - $60k | |||
Certified | New York, NY, United States | $80k - $93k | |||
sigmasoftware2 | Warsaw, Poland | $108k - $126k | |||
Grayscaleinvestments | Remote | $67k - $75k | |||
Morpho | Paris, France | $81k - $85k | |||
Blockchain Venture Capital | United States | $45k - $54k | |||
Bcbgroup | Remote | $77k - $80k |
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