Remote Quantitative Analyst Jobs in Web3

40 jobs found

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Job Position Company Posted Location Salary Tags

Kronosresearch

Remote

$89k - $102k

Lido

Remote

$120k - $140k

Gravity Team

Remote

$100k - $250k

Kronosresearch

Remote

$27k - $70k

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