Quantitative Options Trader
1 week ago
About Us:
We are a tech-driven proprietary trading team specializing in market making and trading within diverse financial markets. Our advanced trading platform enables us to execute a high volume of trades daily, focusing on various financial instruments and derivatives. Our market-neutral approach, supported by diverse alpha sources, has consistently delivered strong returns across various market conditions. With experienced leadership, a solid financial foundation, and a culture rooted in entrepreneurship and research, we are positioned for ongoing growth and success. Our globally distributed team is expanding our trading strategies and capital base, leveraging technology and quantitative methods to excel in evolving financial environments.
Role Overview:
As a Quantitative Options Trader, you will lead the development and execution of quantitative trading strategies for options on centralized exchanges. Building on our established trading strategies, including market making and arbitrage in spot and perpetual swap markets, you will drive our entry into options trading. While prior experience in specialized financial markets is not required, a strong background in professional options trading is essential. Your role will involve creating automated trading strategies such as market making in options, volatility arbitrage, and cross-market arbitrage.
Key Responsibilities:
- Identify and develop profitable strategies for trading options.
- Design and implement systematic options trading strategies.
- Continuously monitor and enhance strategy performance, seeking new opportunities.
- Collaborate with the engineering team to optimize and implement trading algorithms.
- Stay informed about market trends and advancements in the options space.
Qualifications:
- In-depth knowledge of options mechanics and trading strategies.
- At least 3 years of experience trading options at a hedge fund or proprietary trading firm.
- Proven experience in developing systematic, algorithmic trading strategies.
- Proficiency in Python for research, backtesting, and strategy implementation.
- Familiarity with financial data analysis tools such as pandas and numpy.
- Entrepreneurial mindset with strong independent and team-working capabilities.
- Excellent problem-solving skills and meticulous attention to detail.
- Strong analytical and quantitative abilities.
Beneficial Skills:
- Experience with dynamic financial markets.
- Understanding of market structure and major exchanges.
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