Quantitative Developer, Python – Trading Teams EMEA

Overview

In this role you will enhance the research framework by building Python tools, collaborating with on-site researchers, and improving the simulation/backtest infrastructure. You will monitor and support quantitative research jobs and contribute to EMEA research efforts. The position sits within a fast-paced, globally distributed team focused on advancing trading strategies. This is an opportunity to shape tooling and workflows for high-performance research in a leading prop trader environment.

Pay / Benefits

• Generous paid time off policies
• Hybrid working opportunities
• Free breakfast, lunch, and snacks daily
• Wellness reimbursement
• Volunteer opportunities
• Continuous learning opportunities

Responsibilities

• Iterate with on-site researchers to improve desk trading strategies and P&L
• Develop Python tools used in trading strategies research
• Improve the existing simulation/backtest framework
• Monitor and maintain quantitative research jobs
• Support the global research team on EMEA-related research via multiple channels

Key requirements

• Bachelor/Master/PhD in Computer Science, Engineering, or related field (or equivalent practical experience)
• Excellent Python knowledge and libraries (NumPy, Pandas, Polars)
• Production-level Python experience
• Strong problem-solving skills in a fast-paced, distributed environment
• Excellent communication and teamwork
• Experience with workflow management and task scheduling
• C++, scripting (Bash) and/or financial markets experience preferred but not required

• strong communication
• teamwork
• collaboration
• Python
• NumPy
• Pandas

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