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Options Quant Developer

Company:
Executive Placement Network
Location:
Manhattan, NY, 10005
Posted:
May 12, 2025
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Description:

Seeking an experienced Options Quant developer to lead the design, architecture, and implementation of an automated options trading system. The position involves working closely with a small, experienced team of traders, quants, and seasoned software engineers.

Responsibilities will include:

Leading various options quantitative initiatives.

Focusing on areas such as volatility pricing.

Managing cross-product risk.

Collaborating closely with traders to develop and enhance existing processes and systems.

Applying observation skills and modern statistical methods to identify and build predictive models.

Researching and implementing new volatility trading strategies and identifying volatility signals.

Analyzing existing strategies to identify areas for potential improvements.

Developing risk models and frameworks specifically for managing cross-product portfolio risks within the volatility space.

Required Qualifications and Experience:

To be considered for this role, candidates must meet several key requirements:

Demonstrated practical experience in options pricing, within an automated or high-frequency trading environment, ideally in a market making context.

Candidates must possess a solid understanding of risk management and valuation models.

Practical experience is essential in specific areas including:

Modeling implied and realized volatility.

Managing and calibrating volatility risk.

Identifying and utilizing volatility trading signals.

Modeling and assessing event risk.

Understanding and implementing order placement logic.

Performing PnL (Profit and Loss) analysis.

Understanding microstructure effects.

Strong programming skills are mandatory, specifically in C++ and Python.

Candidates must demonstrate exceptional quantitative, mathematical, and problem-solving skills.

Great communication skills and the ability to collaborate effectively with peers are necessary.

An advanced degree is required, preferably a PhD, in a quantitative field such as Science, Math, Engineering, or another related quantitative discipline.

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