Equity Dispersion Trader

DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.

Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.

We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.

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.

You will work closely with technologists, researchers, and other traders to develop, implement, and optimize systematic and discretionary trading strategies.

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 LLM’s and AI to work on tools that help 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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