Quantitative Developer, Python - Trading Teams EMEA
Tower Research Capital
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
- 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
- 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
Reference: WJ-747_30175735