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
