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High-Performance Algorithmic Trading Specialist
2 weeks ago
We are seeking a highly skilled Algorithmic Trading Developer to join our team. The role focuses on building high-performance algorithms that power trading and decision-making across diverse markets. You will be part of a small, highly focused team responsible for designing and implementing cutting-edge trading strategies.
- Design, develop, and implement low-latency algorithms for arbitrage and trading strategies.
- Build and optimize high-performance systems to handle large volumes of real-time data.
- Conduct data-driven analysis of markets to uncover inefficiencies and trading opportunities.
- Develop and maintain backtesting frameworks to validate strategies under varied market conditions.
- Profile, benchmark, and tune code for throughput and latency improvements.
- Collaborate with traders and engineers to translate ideas into live strategies quickly and iteratively.
- Contribute to core infrastructure supporting algorithmic trading (distributed systems, monitoring, data pipelines).
- Bachelor's degree or higher in Computer Science, Mathematics, Engineering, or a related technical field.
- 4+ years of experience working with algorithms, data structures, and complexity analysis.
- Expert programming skills in at least one of: C++, Rust, or Java. Strong Python skills for prototyping and data analysis.
- Experience with low-level optimization (memory management, concurrency, multithreading).
- Proficiency with Linux systems and performance profiling/debugging tools.
- Familiarity with networking protocols and real-time data handling (sockets, TCP/UDP, gRPC).
- Solid understanding of probability, statistics, and numerical methods.
- Prior exposure to high-frequency/low-latency systems, distributed computing, or trading environments is a plus.
In this role, you will have the opportunity to work with a talented team of developers and traders to design and implement innovative trading strategies. You will also have access to state-of-the-art technology and resources to support your work.