Quant Developer – Python, Signal implementation

Overview

In this role you will research and implement fully automated quantitative trading strategies using data-driven methods. You’ll work within the MFT team to build and validate strategies that may target futures, derivatives, or currencies across intraday to multi-week horizons. You drive production-ready implementation, backtest reconciliation, and performance scaling within defined risk limits. The environment blends advanced technology with trading expertise, offering a high-visibility, high-impact path to market. This is a tech-forward, collaborative opportunity at a well-funded prop trading firm, with strong compensation and flexible working.

Pay / Benefits

• flexible working
• competitive compensation
• high-growth, tech-driven culture

Responsibilities

• Research and implement automated trading strategies using data-driven methods
• Maintain and productionize trading signals and risk-reconciled backtests
• Scale strategies to maximize PnL while adhering to risk limits
• Extend and improve tooling and frameworks used by the MFT team
• Explore strategy applicability across markets and report metrics

Key requirements

• 3 years of automated trading experience
• Strong Python skills focused on strategy implementation
• Experience in a bank, fund, or prop shop within a trading team
• Academic background aligned with the role

• problem-solving mindset
• ability to work in a fast-paced, high-focus environment
• team collaboration with technologists and traders
• Python
• automated trading
• backtesting

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