Our client is expanding its ultra-low-latency trading infrastructure and is seeking a highly skilled Quant Developer to operate at the intersection of quantitative research, trading strategy design, and high-performance C++ engineering.
This role is critical to supporting the rapid growth of the trading desk. With several senior traders recently onboarded, strategy development has accelerated significantly — but the team now requires a dedicated developer to translate research ideas into production-grade, latency-optimized systems.
The successful candidate will take full ownership of strategy code, collaborating closely with quantitative researchers to convert models into efficient, reliable, and high-performance implementations.
Key Responsibilities (First 6–12 Months)
- Develop a deep understanding of existing strategies, systems architecture, and trading logic.
- Maintain and enhance live trading strategies through code refactoring, performance profiling, and optimization.
- Partner with quant researchers to translate mathematical models into production-ready C++ code.
- Design and implement new trading strategies with a focus on ultra-low latency performance.
- Own latency-critical components and continuously improve tick-to-trade times across the stack.
- Streamline the research-to-production pipeline by building efficient handoffs between quant and engineering teams.
| Skill Area | Expectations |
| Quantitative Background | Strong grasp of financial mathematics, statistics, algorithms, and data structures; ability to collaborate with researchers to productionize models. |
| Financial Domain Knowledge | Prior experience with trading systems or strategies in high-frequency or electronic trading environments. |
| Modern C++ (C++17/20) | Expertise in writing high-performance, low-latency code using modern C++ standards and best practices. |
| Multithreading & Concurrency | Experience designing lock-free data structures and optimizing multi-threaded systems. |
| Education | Bachelor’s or Master’s degree in Computer Science, Mathematics, Physics, Engineering, or a related quantitative discipline. |
| Monitoring Tools (Prometheus, Grafana) | Ability to build and maintain observability dashboards and alerting systems for live trading strategies. |
| Tool / Concept | Expectations |
| AWS / Cloud Platforms | Use cloud resources for research or backtesting (non-latency-critical workloads). |
| Scripting (Bash, Python) | Build automation scripts for development, testing, or diagnostics. |
| Strategy Visualization | Develop visualization tools for traders and researchers to analyze P&L, latency, and real-time behavior. |
| Networking (TCP/UDP, Multicast, FIX) | Deep understanding of networking protocols and experience maintaining high-throughput exchange connections. |