Equity Dispersion Trader

Company: DRW
Apply for the Equity Dispersion Trader
Location: London
Job Description:

Overview

In this role you will develop and manage quantitative strategies for US and EU equity options, with a focus on dispersion between index and single-stock volatility. You will collaborate with technologists, researchers, and fellow traders to build and optimize systematic and discretionary trading approaches and to improve execution. You will analyze volatility surfaces, correlations, and cross-asset relationships while actively monitoring risk and adapting strategies to market events. This position blends rigorous modeling with real-time decision making in a fast-paced, innovative trading environment.

Responsibilities

  • Develop and manage quantitative trading strategies in US and EU equity options
  • Design and execute dispersion trades to capture relative value between index and single-name volatility
  • Analyze volatility surfaces, correlations, and cross-asset relationships
  • Monitor and manage risk exposures including vega, gamma, correlation, and tail risks
  • Collaborate with developers to enhance trading infrastructure, models, and execution systems
  • Work with LLMs and AI to build tools for opportunity spotting
  • Refine models with large datasets to forecast implied vs realized volatility and correlations
  • Respond to market events in real time and adjust positions
  • Contribute to research on new products, markets, and opportunities

Key requirements

  • Strong academic background in Mathematics, Physics, Engineering, Computer Science, or a related quantitative field
  • Proven experience trading equity options in US and/or European markets
  • Deep understanding of options theory, volatility modeling, and derivatives pricing
  • Experience with dispersion and correlation trading strategies
  • Proficiency in programming (Python, C++, or similar) and working with large datasets
  • Strong statistical and analytical skills with 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
  • Python
  • C++
  • dispersion trading
  • volatility modeling
  • derivatives pricing
  • statistical analysis

…

Posted: October 1st, 2026