Skills

python

Full description

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