Company: Quant Capital
Location: London
Job Description:
Overview
In this role you will research and implement automated quantitative trading strategies across assets like futures, equities, options and currencies. You’ll work within a high-performance team on scalable infrastructure to maximise PnL within risk limits. The role combines hands-on research, backtesting, and live deployment, with a focus on longevity and continuous optimization. You join a tech-forward trading environment that values speed, accuracy, and a calm, open culture.
Pay / Benefits
- relocation package
- market-leading PnL share or bonus
- transparent costs
- permanent role with established team
- investment in infrastructure
- calm, open company culture
Responsibilities
- Research and implement automated trading strategies using data-driven methods
- Backtest, validate, and reconcile production strategies
- Scale strategies to maximise PnL within risk tolerances
- Ensure longevity and robustness of strategies
- Investigate applicability of strategies to additional markets
- Provide reporting and performance metrics for strategies
- Collaborate with infrastructure to take models to market
Key requirements
- 2 years of quant trading experience in bank, fund, or prop shop
- Experience with low to medium frequency futures, options, or equities
- Relative value modelling and trading
- Academic background in a relevant field
- Experience with research and development in quantitative trading
- Experience with backtesting and production deployment
- strong analytical thinking
- calm under pressure
- team collaboration
- quantitative modelling
- backtesting and optimization
- relative value trading
…
Posted: October 1st, 2026