Quantitative Trading Analyst
An entry-level seat on an automated options market-making desk, with an extended training period that moves from running part of the portfolio to working on pricing and microstructure strategy. Options education is provided.
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.
- Learn how automated market making quotes and hedges options exposure
- Tune desk settings that control how risk accumulates
- Run ad hoc analyses on settings, microstructure and performance metrics
- Monitor key performance metrics for your part of the portfolio
What they ask for
Required
- Bachelor's in a quantitative field
- Strong analytical and problem-solving ability
- Interest in financial markets and technology
- Clear communication and teamwork
Preferred
- Programming experience
- Education
- Bachelor's degree in statistics, economics, mathematics, computer science or similar
- Experience
- No prior finance experience needed; new graduates welcome
- Markets
- options
How to prepare
- Learn option basics: payoffs, put-call parity, Greeks and how a market maker hedges
- Build comfort with probability puzzles and mental arithmetic
- Write small Python analyses on public market data to show initiative
- Read an introduction to market microstructure and bid-ask spreads
What to study
- Finance Primer
- Derivatives Pricing and Computational Finance
- Python and Data Primer
- Market Microstructure and Execution
The Volatility Quant roadmap sets out the stages for this kind of role, with free resources for each.
Open the roadmapApply
Read the full posting on Wolverine Trading’s site before applying: requirements, location and pay can change after we check them.
View the posting on Wolverine Trading’s site ↗
SelfMadeQuant wrote this summary from the employer’s public posting, last checked 6 November 2026. SelfMadeQuant isn’t affiliated with Wolverine Trading and doesn’t handle applications.