Qualifications

• Bachelor's degree or higher in computer science or other STEM discipline
• Advanced proficiency in Python and its ecosystem (numpy, pandas, polars, scikit-learn)
• Experience contributing to core Python numerical libraries is a huge plus
• Proficiency with Linux
• Hands-on experience with software architecture and engineering best practices (testing, CI/CD, monitoring, profiling, version control)
• Strong quantitative and analytical skills; command of linear algebra, statistics, and machine learning would be helpful
• Proficiency with C/C++ is a plus

Responsibilities

• Build components for both live trading and simulation
• Refine and increase automation and robustness of research infrastructure including alpha estimation, risk modeling, and backtesting
• Build tools for signal blending, simulation, portfolio construction, research framework, and dashboards
• Maintain and update the platform, ensuring its stability, robustness, and security
• Develop robust data checking and storage procedures
• Troubleshoot and resolve any systems-related issues and handle code fixes and enhancements release

Benefits

• Innovative work environment with a focus on technology and automation
• Opportunity to contribute to the development of cutting-edge trading systems
• Collaboration with a diverse team of experts in quantitative finance and software engineering
• Possibilities for professional growth and advancement in a rapidly evolving field
• Commitment to ethical standards and practices within the organization