Quant Options Trader
Job Description
Global digital asset and derivatives markets operate continuously, creating an environment that rewards curiosity, adaptability, and strong decision-making under pressure. The position is ideal for someone genuinely passionate about trading, market structure, and fast-moving financial environments.
Working alongside a high-performance trading team, you will focus on identifying opportunities across options markets, managing risk exposure, and improving trading performance through data-driven analysis. The role involves constant interaction with live markets and requires the ability to react quickly, think critically, and maintain composure in rapidly changing conditions.
You will contribute to pricing, execution, volatility analysis, and trading operations while collaborating closely with quantitative researchers and technology specialists to refine models, analytics, and infrastructure.
Key Responsibilities
- Price and execute options trades across active markets
- Monitor portfolio risk and maintain exposure within defined parameters
- Assess market events, news flow, and volatility dynamics to identify trading opportunities
- Work closely with quantitative, technology, and risk teams to enhance trading strategies and tools
- Review trading performance and contribute to ongoing process and model improvements
- Support the development of analytical frameworks, pricing models, and execution systems
Candidate Profile
- Master’s degree in a quantitative field such as mathematics, physics, econometrics, engineering, quantitative finance, or a related discipline
- Strong interest in financial markets, derivatives, and trading environments
- Excellent analytical and numerical problem-solving abilities
- High attention to detail and ability to make sound decisions under pressure
- Effective communicator with a collaborative mindset and openness to feedback
- Familiarity with trading systems, data analysis, or programming languages such as Python is advantageous
- Comfortable operating in fast-paced, highly competitive market environments