Job Description
ResponsibilitiesIterating 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 Currently pursuing a Bachelor's or 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
Exposure to C++ and/or scripting languages (e.g., Bash) is a plus
Interest in learning about large-scale systems, workflow orchestration, and production-grade software engineering practices 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
Qualifications
Benefits
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