| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Kronosresearch | Remote | $89k - $102k | |||
Okx | Remote | $67k - $75k | |||
Grayscaleinvestments | Remote | $67k - $75k | |||
Morpho | Paris, France | $81k - $85k | |||
| Learn Job-ready Solidity & Rust skills, in your schedule with 1-on-1 mentor support, or get your money back. ISO 9001 Certified | 400+ students | | by Metana Learn more | |||
Bcbgroup | Remote | $77k - $80k | |||
Zscaler | Remote | $105k - $150k | |||
Rampnetwork | Remote | $59k - $66k | |||
Rampnetwork | Remote | $74k - $98k | |||
Falconx | Remote | $59k - $60k | |||
Bitmex | Remote | $22k - $80k | |||
Bitfinex | Spain | $87k - $101k | |||
Lido | Remote | $120k - $140k | |||
Woo | Remote | $74k - $77k | |||
Binance | Brisbane, Australia |
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Binance | Remote |
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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