I'm working with a leading global financial institution that is currently looking to hire a talented C++/Python Developer to join their team, specializing in low-latency trading systems. Below are the key details for the role:Role Overview:The company is looking for a highly skilled developer to work on designing, developing, and optimizing low-latency trading systems for high-frequency trading and other critical financial applications. You will be collaborating closely with traders, quantitative analysts, and engineering teams to ensure the firm's trading platforms perform optimally under pressure.Key Responsibilities:
Develop and optimize low-latency, high-performance trading systems to meet the fast-paced demands of the trading environment.
Work on improving system performance by identifying latency bottlenecks and implementing solutions to boost throughput and reliability.
Partner with cross-functional teams, including traders and quants, to integrate new features and ensure system stability.
Monitor and analyze system performance, proactively addressing issues to maintain a high level of performance.
Contribute to the overall architecture and strategy for building secure and scalable trading systems.
Ensure high code quality, strong testing practices, and comprehensive documentation.
Key Requirements:
Proven experience developing low-latency systems in C++ or Python, ideally within financial markets or trading environments.
Strong understanding of high-frequency and algorithmic trading systems, with experience in real-time trading applications.
Solid knowledge of networking protocols, distributed systems, and message-driven architectures.
Expertise in optimizing system performance, particularly around latency reduction and throughput improvements.
Experience working with large-scale data processing in real-time.
Familiarity with tools such as Linux, Docker, and performance monitoring techniques.
Excellent problem-solving skills, with the ability to stay calm under pressure in a fast-paced environment.
Preferred Qualifications:
A degree in Computer Science, Engineering, or a related field.
Previous experience in the financial services or trading industry is highly desirable.
Knowledge of trading protocols like FIX and a background in quantitative analysis is a plus.
Familiarity with cloud technologies and containerization (e.g., Docker) would be beneficial.
Why Consider This Opportunity?
Join a highly dynamic team working with cutting-edge technology in a leading financial institution.
Competitive salary and excellent benefits package.
Strong opportunities for growth and career development.
Benefits: ..Consultant Name: Jack ParrottConsultant Email: