Quant jobs / Maven Securities

Quant Trader – Quantitative Positional Trading (QPT)

A trader role in a fast-growing team doing statistical arbitrage and relative value positions in derivatives. It spans alpha research, execution and risk with ownership of the strategy.

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.

Research alphas across the volatility surface, term structure, 0DTE and dispersion
Run PnL attribution and track changes in volatility surfaces
Tune and parametrise execution systems
Trade and risk-manage systematic strategies
Work with tech and quant teams on model improvements

What they ask for

Required

2+ years in quant research or trading
Derivatives desk experience preferred
Commercial risk-taking mindset
Clear communication
Strong analytical skills
Python and SQL

Preferred

Portfolio construction experience

Education: Not stated
Experience: 2+ years in quantitative research or trading
Languages and tools: Python
SQL
Markets: options

How to prepare

Backtest a relative value options signal and attribute its PnL
Study 0DTE option behaviour and risk
Learn portfolio construction with transaction costs
Practise explaining a trade idea, its edge and exit logic

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 Maven Securities’s site before applying: requirements, location and pay can change after we check them.

View the posting on Maven Securities’s site ↗

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