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3 days ago
We are seeking a highly skilled software engineer to join our high-performance trading team. Your primary responsibility will be designing, developing, and maintaining low-latency distributed systems that support market making, pricing, algorithmic trading, position, and risk management activities.
This role provides an opportunity to work closely with quantitative analysts, traders, and other engineers to build cutting-edge distributed applications and tools. You will also have the chance to grow and lead the team within the department.
- Design, develop, and maintain real-time distributed applications for pricing/risk/algo/market making framework integration with analytical library, eTrading platform for connectivity and execution, ticker plant, and trade store.
- Collaborate with cross-functional teams (traders, quants, DevOps) to define system requirements and deliver robust solutions.
- Maintain and extend CI/CD pipelines for continuous delivery and integration of software.
- Support production systems and participate in on-call rotations as needed.
- 6+ years of experience developing real-time applications in C++ (C++11 or newer).
- Deep understanding of Linux-based systems programming and performance tuning.
- Strong knowledge of data structures, algorithms, and computational complexity.
- Proven experience with multithreading, concurrency, and inter-process communication.
- Experience with the Boost libraries.
- Proficiency with Visual Studio Code (VSCode) and modern development workflows.
- Solid understanding of CI/CD practices and tools (e.g., GitHub, TeamCity etc.).
- Experience building or supporting distributed systems in a low-latency environment.
- Familiarity with fixed income products, such as bonds, treasuries, credits, or interest rate derivatives.
- Prior experience in investment banking, proprietary trading firms, or hedge funds.
- Understanding of market data feeds, order management systems, and electronic trading protocols (e.g. FIX).
- Programming skills in Java.
- Familiarity with tick databases like KDB.
- Knowledge of scripting languages (Python, Bash) for tooling and automation.
- Excellent communication skills (written and verbal).
- Strong problem-solving and decision-making skills, the ability to demonstrate sound judgment and approach.
- Bachelor's degree/University degree in Computer Science or equivalent experience
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