Job Description: Design, develop, and maintain low-latency trading systems and infrastructure. Optimize existing trading algorithms and strategies for maximum performance. Collaborate with quantitative researchers to implement new trading strategies. Monitor and troubleshoot trading systems in real-time to ensure optimal performance and reliability. Develop tools and frameworks to support the research and development of new trading strategies. Stay up-to-date with the latest technologies and industry trends to continuously improve our trading systems. Work closely with the infrastructure team to ensure seamless integration of new technologies and systems.
Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. 5 Years or above software development experience. Strong programming skills in C++ and Python with a focus on low-latency and high-performance systems. Experience with multi-threading, networking, and real-time systems. Knowledge of financial markets, trading concepts, and algorithmic trading strategies. Familiarity with Linux/Unix environments and scripting languages (e.g., Bash, Perl). Strong problem-solving skills and the ability to work under pressure in a fast-paced environment. Excellent communication and teamwork skills.