Overview
In this role, you will develop and operate automated quantitative trading strategies across FX, equities, and rates at a globally recognized prop-trading environment. You’ll own strategy performance, risk, and backtest-to-production cycles, while scaling profitable ideas within risk limits. You’ll explore cross-market applicability and improve trading tools, all in a tech-driven, open culture. The opportunity centers on building high-impact, data-driven strategies with significant upside in a fast-paced, merit-based setting.
Pay / Benefits
- market leading PnL share
- transparent costs
- permanent role
- open, relaxed culture
- heavy infrastructure investment
Responsibilities
- Oversee PnL, performance and risk metrics for strategies
- Continuous production, backtest reconciliation and optimisation
- Scale up to maximise PnL within risk tolerances
- Ensure longevity and robustness of strategies
- Implement initial strategy and confirm via backtest
- Research applicability of strategies to other markets
- Provide reporting and metrics on strategy performance
- Improve tools and frameworks used by the MFT team
Key requirements
- 3 Years Automated Trading Experience
- Experience in a Bank, Fund or Prop Shop on a trading team
- Medium Frequency FX, Equities, Rates
- Relative Value Modelling and Trading
- Python Programming
- Strategy ideally portable
- Academic background to match
- data-driven
- analytical
- self-motivated
- Python Programming
- Relative Value Modelling and Trading
- Automated trading
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