Quantitative Developer Intern - Python & Trading Tools

Tower Research Capital; Paris; Presencial; EUR 17 000 - 21 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive compensation package

Free breakfast, lunch, and snacks

Exciting networking and social events

Mentors from your alma mater and other

Resumo da oferta

Tower Research Capital in Paris is seeking a Master’s student for a six-month internship starting February 2027. You will work with on-site quantitative researchers to improve trading desk processes and develop Python tools used in research.

You will also contribute to enhancing the simulation/backtest framework and collaborate with a global research team across the EMEA region, gaining exposure to large-scale systems and production-grade software engineering.

Qualificações

• Final year of a Master’s degree in CS/Engineering/Applied Math or related field.
• Strong interest in quantitative finance and software development.
• Solid foundation in Python with NumPy, Pandas or Polars.
• Curiosity, problem-solving and ability to work in a fast-paced, collaborative environment.
• Good communication and distributed teamwork.
• Exposure to C++ and scripting (Bash) is a plus.
• Interest in large-scale systems and production-grade software practices.

Responsabilidades

• Iterating quickly with on-site quantitative researchers to improve desk Q trading strategies P&L.
• Developing Python tools used in strategies research.
• Improving the existing simulation/backtest framework.
• Help global research team on EMEA-related research via various channels.

Conhecimentos

Python programming

NumPy

Pandas

Polars

C++

Scripting (Bash)

Distributed teamwork

Quantitative finance interest

Formação académica

Master's degree in Computer Science/Engineering/Applied Math

Ferramentas

Python tooling

Backtesting framework

Descrição da oferta de emprego

Tower Research Capital in Paris is seeking a Master’s student for a six-month internship starting February 2027. You will work with on-site quantitative researchers to improve trading desk processes and develop Python tools used in research.

You will also contribute to enhancing the simulation/backtest framework and collaborate with a global research team across the EMEA region, gaining exposure to large-scale systems and production-grade software engineering.