Quant jobs / DRW

Equity Dispersion Trader

A quantitative trader in an equity options team trading dispersion between index and single-stock volatility in the US and Europe. It combines systematic model work with live trading decisions.

What you’d work on

Our reading of the posting: what a new hire in this role would most likely spend their first months on.

Trade dispersion and correlation positions in US and European equity options
Analyse volatility surfaces and correlation structure
Manage vega, gamma, correlation and tail risk
Work with developers on models and execution systems
Try LLM-based tools that help spot opportunities

What they ask for

Required

Maths, physics, engineering or computer science background
Proven equity options trading
Options theory, volatility modelling and pricing
Dispersion and correlation trading
Python, C++ or similar
Statistics
Index composition, corporate actions and dividends

Preferred

Market microstructure and execution algorithms

Education: Strong academic background in maths, physics, engineering, computer science or similar; level not stated
Experience: Proven experience trading equity options in US and/or Europe
Languages and tools: Python
C++
Markets: equities, options

How to prepare

Price index and single-name options and measure implied correlation
Backtest a simple dispersion trade with realistic Greeks and costs
Study vol surfaces, skew and term structure
Learn how dividends and index rebalances affect option prices

What to study

The Volatility Quant roadmap sets out the stages for this kind of role, with free resources for each.

Open the roadmap

Apply

Read the full posting on DRW’s site before applying: requirements, location and pay can change after we check them.

View the posting on DRW’s site ↗

SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with DRW and doesn’t handle applications.