Requirements

• Currently in the final year of a Master’s degree in Computer Science, Engineering, Applied Math, or a related field
• Strong interest in quantitative finance and software development
• Solid foundation in Python programming and exposure to libraries such as NumPy, Pandas, or Polars through coursework or personal projects
• Demonstrated curiosity, problem-solving ability, and a desire to grow in a fast-paced, collaborative, and intellectually demanding environment
• Good communication skills and willingness to work as part of a distributed team

Nice to Haves

• Exposure to C++ and/or scripting languages (e.g., Bash)
• Interest in learning about large-scale systems, workflow orchestration, and production-grade software engineering practices

What You'll Be Doing

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

Perks and Benefits

• Competitive compensation package
• Free breakfast, lunch, and snacks daily
• Exciting networking and social events
• Opportunities to learn from senior management across the firm
• Mentors from your alma mater and other top institutions