Requirements

• Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, Engineering, or a related field.
• Strong programming skills in Python and familiarity with dataset libraries such as pandas, polars, numpy, duckdb.
• Solid understanding of quantitative finance and statistical methods.
• Familiarity with the trading process and financial markets.
• Experience designing and implementing high-performance, scalable systems.
• Excellent analytical and problem-solving skills.
• Meticulous attention to detail and commitment to accuracy.
• Demonstrated ability to work hard and manage multiple tasks simultaneously.
• Ability to work effectively in a collaborative team environment.
• Strong verbal and written communication skills.

What You'll Be Doing

• Developing, maintaining, and improving the core trading engine.
• Designing and implementing trade automation systems to enhance trading efficiency and effectiveness.
• Collaborating closely with traders, researchers, and other developers to understand requirements and deliver solutions.
• Participating in code reviews to ensure code quality and adherence to best practices.
• Providing ongoing support and troubleshooting for existing trading systems and models.