{ “@context”: “http://schema.org”, “@type”: “JobPosting”, “title”: “Equity Dispersion Trader”, “description”: “
DRW is seeking a highly motivated Quantitative Trader to join our Equity Options team, focusing on US and European markets with a specialization in dispersion strategies. This role combines deep quantitative analysis, real-time decision-making, and hands‑on trading to identify and capture opportunities between index and single‑stock options.
Key Responsibilities
- Develop, implement, and manage quantitative trading strategies in US and EU equity options markets.
- Design and execute dispersion trades, capturing relative value between index volatility and single‑name volatility.
- Conduct in-depth analysis of volatility surfaces, correlation structures, and cross‑asset relationships.
- Monitor and manage risk exposures, including vega, gamma, correlation, and tail risks.
- Collaborate with developers to build and enhance trading infrastructure, models, and execution systems.
- Work with LLMs and AI to develop tools that improve opportunity spotting.
- Continuously refine models using large datasets, improving forecasting of implied vs. realized volatility and correlations.
- Respond to market events in real time, adjusting positions and strategies accordingly.
- Contribute to research on new products, markets, and trading opportunities.
Required Skills & Experience
- Strong academic background in Mathematics, Physics, Engineering, Computer Science, or a related quantitative field.
- Proven experience trading equity options across US and/or European markets.
- Deep understanding of options theory, volatility modeling, and derivatives pricing.
- Experience with or strong knowledge of dispersion and correlation trading strategies.
- Proficiency in programming (Python, C++, or similar) and working with large datasets.
- Strong statistical and analytical skills, with the ability to translate insights into trading decisions.
- Ability to operate effectively in a fast‑paced, high‑stakes environment.
- Familiarity with market microstructure and execution algorithms.
- Knowledge of index composition, corporate actions, and dividends in US/EU equities.
Company: DRW
Location: London
Job Description:
DRW is seeking a highly motivated Quantitative Trader to join our Equity Options team, focusing on US and European markets with a specialization in dispersion strategies. This role combines deep quantitative analysis, real-time decision-making, and hands‑on trading to identify and capture opportunities between index and single‑stock options.
Key Responsibilities
- Develop, implement, and manage quantitative trading strategies in US and EU equity options markets.
- Design and execute dispersion trades, capturing relative value between index volatility and single‑name volatility.
- Conduct in-depth analysis of volatility surfaces, correlation structures, and cross‑asset relationships.
- Monitor and manage risk exposures, including vega, gamma, correlation, and tail risks.
- Collaborate with developers to build and enhance trading infrastructure, models, and execution systems.
- Work with LLMs and AI to develop tools that improve opportunity spotting.
- Continuously refine models using large datasets, improving forecasting of implied vs. realized volatility and correlations.
- Respond to market events in real time, adjusting positions and strategies accordingly.
- Contribute to research on new products, markets, and trading opportunities.
Required Skills & Experience
- Strong academic background in Mathematics, Physics, Engineering, Computer Science, or a related quantitative field.
- Proven experience trading equity options across US and/or European markets.
- Deep understanding of options theory, volatility modeling, and derivatives pricing.
- Experience with or strong knowledge of dispersion and correlation trading strategies.
- Proficiency in programming (Python, C++, or similar) and working with large datasets.
- Strong statistical and analytical skills, with the ability to translate insights into trading decisions.
- Ability to operate effectively in a fast‑paced, high‑stakes environment.
- Familiarity with market microstructure and execution algorithms.
- Knowledge of index composition, corporate actions, and dividends in US/EU equities.
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Posted: May 17th, 2026