Quantitative Trading Systems Intern

Tower Research Capital; Paris; Sur place; EUR 16 000 - 20 000; Plein temps

Avantages offerts par ce poste

Competitive compensation

Free meals

Networking events

Mentorship from senior management

Alumni mentors

Résumé du poste

Tower Research Capital in Paris is seeking a Master’s candidate for a 6‑month internship to collaborate with on-site quantitative researchers. You will develop Python tools for trading strategies research and help improve the backtest framework, while contributing to fast exploratory work in a high-performance environment.

You will join a global research team, gaining exposure to large-scale systems, production-grade software practices, and mentorship from senior management.

Qualifications

• Final year Master's student in CS/Engineering/Applied Math or related field.
• Strong interest in quantitative finance and software development.
• Solid Python programming foundations with data libraries (NumPy, Pandas, Polars).
• Demonstrated curiosity, problem-solving ability, and ability to work in a fast-paced, collaborative environment.
• Good communication and willingness to work in a distributed team.
• Exposure to C++ and scripting languages is a plus.

Responsabilités

• Iterate quickly with on-site quantitative researchers to improve desk trading strategies P&L.
• Develop Python tools used in trading strategies research.
• Improve existing simulation/backtest framework.
• Support global research team on EMEA-related research via various channels.

Connaissances

Strong communication

Team collaboration

Curiosity

Problem solving

Formation

Master’s degree in Computer Science, Engineering, Applied Math

Outils

Python

NumPy

Pandas

Polars

C++

Bash

Description du poste

Tower Research Capital in Paris is seeking a Master’s candidate for a 6‑month internship to collaborate with on-site quantitative researchers. You will develop Python tools for trading strategies research and help improve the backtest framework, while contributing to fast exploratory work in a high-performance environment.

You will join a global research team, gaining exposure to large-scale systems, production-grade software practices, and mentorship from senior management.