Quant jobs / DRW

Quantitative Trading Analyst – Volatility

An early-career role on a volatility trading team, combining model work with running live algorithms. The team makes markets in options through automated systems and by voice in the inter-dealer broker market.

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.

Monitor and adjust live options market-making algorithms
Improve pricing models and analytics for volatility products
Analyse market data to spot inefficiencies and risk exposures
Work with technology teams to automate trading workflows
Support expansion into new markets and asset classes

What they ask for

Required

1–2 years in trading, quant analysis or research
Strong maths, physics, computer science or engineering background
Probability, statistics and market intuition
Python
Interest in volatility products

Preferred

SQL, R or C++
Derivatives or volatility product experience
Options pricing, Greeks, volatility surfaces
Handling large market datasets

Education: Strong academic record in a quantitative discipline
Experience: 1–2 years in trading, research or market making
Languages and tools: Python
SQL
R
C++
Markets: options, equities, fixed-income, credit, fx

How to prepare

Build an implied volatility surface from option quotes and study its dynamics
Learn Greeks and how a market maker hedges them
Write Python tools to analyse option chain data
Practise mental-maths and probability problems for interviews

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.