Quant jobs / Maven Securities

Trading Analyst (Python)

An analyst role on an options market making desk that analyses trading data and builds tools for traders. It suits a curious, Python-strong candidate who explains findings clearly.

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.

Analyse trading data and surface patterns the desk can act on
Prototype strategy ideas and test hypotheses with traders
Build scripts, dashboards and automated workflows
Flag data anomalies and operational improvements
Check AI-assisted output rather than trusting it blindly

What they ask for

Required

Strong Python
Numerical and statistical reasoning
SQL or willingness to learn it quickly
Interest in markets and derivatives
Clear communication
Some use of AI tools

Preferred

Trading or financial services experience
Dashboards and data pipelines
GitHub or side projects

Education: Not stated; the firm says how you think and build matters more than where you studied
Experience: Early-career; no minimum years stated
Languages and tools: Python
SQL
Markets: options

How to prepare

Build a dashboard from public options data showing volume, volatility and skew
Practise statistical analysis on messy trade data
Learn basic options concepts and market making mechanics
Publish a small GitHub project that analyses market data

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.