Python Developer - Low Latency Trading

Job description:

• Design, develop, and maintain Python-based low-latency trading systems.
• Collaborate with quants and traders to understand trading strategies and requirements.
• Optimize existing trading systems to reduce latency and improve performance.
• Troubleshoot and address issues related to system performance and latency.
• Implement and fine-tune low-latency communication protocols for trading strategies.
• Ensure high availability, scalability, and reliability of trading systems in production.
• Collaborate with infrastructure teams to deploy and maintain systems in production environments.
• Continuously enhance development processes and focus on improving system efficiency.

About the customer:

The successful candidate will collaborate closely with quants, traders, and other technical teams to ensure the smooth and efficient operation of trading systems in a fast-paced and competitive environment.

Requirements:

• Masters Degree in Computer Science, Engineering, Finance, or a related field, or equivalent experience.
• Proficient in Python and familiar with libraries such as NumPy, pandas, and asyncio.
• Strong understanding of low-latency, high-performance software development and optimization techniques.
• Experience with electronic trading platforms, market data feeds, and trading protocols (e.g., FIX, REST APIs).
• Knowledge of network programming and multi-threading in Python.
• Experience with performance tuning and memory optimization for real-time systems.
• Strong understanding of financial instruments, asset classes, and market data.
• Ability to work in a high-pressure, fast-paced trading environment.