Equity Options Researcher Jobs

Client: Quant Fund NYC

Project: Full-Time

As a Quantitative Equity Options Researcher, you will play a critical role in developing and implementing quantitative strategies for equity options trading. Leveraging your expertise in mathematical modeling, statistical analysis, and programming, you will contribute to the optimization of our trading strategies and risk management techniques. This role offers the opportunity to collaborate with a diverse group of professionals in a fast-paced and intellectually stimulating environment.

Responsibilities:

• Utilize advanced mathematical modeling, statistical analysis, and programming skills to develop and test innovative trading ideas.
• Analyze market data, including historical and real-time data, to identify patterns and opportunities for strategy improvement.
• Perform thorough backtesting and simulation analysis to evaluate the performance of trading strategies across various market conditions.
• Conduct rigorous quantitative research on equity options trading strategies, with a focus on generating alpha and managing risk.
• Collaborate closely with portfolio managers, traders, and technology teams to implement and refine trading strategies.
• Contribute to the development of tools and systems to support trading strategy research, testing, and execution.
• Continuously monitor and evaluate the effectiveness of existing strategies, proposing enhancements and adjustments as needed.

Qualifications:

• Experience working with market data feeds, order execution platforms, and trading infrastructure.
• Strong expertise in options pricing theory, derivatives markets, and quantitative modeling.
• Proven ability to develop and implement quantitative trading strategies, with a track record of generating positive returns.
• Effective communication skills to articulate complex concepts to various stakeholders.
• Familiarity with risk management practices and portfolio optimization techniques is a plus.
• Proficiency in programming languages such as Python, R, C++, or similar, with experience in algorithmic trading libraries and tools.
• Excellent problem-solving skills and a strong attention to detail.
• Solid understanding of statistical analysis, time-series analysis, and data manipulation techniques.
• Prior experience in a similar role within a financial institution, hedge fund, proprietary trading firm, or asset management company is preferred.
• Master's or Ph.D. in a quantitative discipline such as Finance, Mathematics, Statistics, Computer Science, or a related field.