Quant Developer

About the Company and Role We're looking for a Quant Developer to join a team developing ultra-low-latency trading systems. In this role, you'll work at the intersection of quantitative research, trading, and high-performance C++ engineering. You'll collaborate with quant researchers to transform trading models into production-ready software, optimize latency-critical components, and improve the performance of live trading strategies. Our client is a proprietary trading company specializing in high-frequency and algorithmic trading. The company develops its own trading infrastructure, market connectivity, and quantitative technologies for automated trading in cryptocurrency markets. Tech Stack: C++17/20, Multithreading, Concurrency, Prometheus, Grafana, TCP/UDP, Multicast, FIX, Python, Bash, AWS. Location: Dubai, UAE / Poland (full-time, office-based). We are offering: Work on production trading systems where latency and performance directly affect trading results; Collaborate closely with quant researchers, traders, and C++ engineers on production trading strategies; Design and optimize ultra-low-latency trading infrastructure and strategy implementations; High ownership of production strategy code and latency-critical components; Competitive compensation package based on your experience and technical level; Relocation packages; Flexible working hours; Company workations twice a year; A flat engineering structure with opportunities to grow and take on more technical responsibility. What We're Looking For: Strong understanding of financial mathematics, statistics, algorithms, and data structures; Commercial experience developing high-performance applications with modern C++; Experience with multithreading and concurrent programming; Understanding of financial markets, trading strategies, and high-frequency trading; Bachelor's or Master's degree in Computer Science, Mathematics, Physics, Engineering, or another quantitative field; Experience working with monitoring and observability tools such as Prometheus and Grafana. It will be a plus if you have: Experience with AWS or other cloud platforms; Experience writing automation or operational tools using Python or Bash; Experience building visualization tools for trading systems; Understanding of networking concepts, including TCP/UDP, Multicast, and FIX. You'll likely enjoy this role if you: Take initiative and are comfortable working with complex systems; Pay close attention to implementation details and performance optimization; Make pragmatic engineering decisions while balancing technical trade-offs; Enjoy collaborating with researchers, traders, and engineers. Responsibilities: Collaborate with quant researchers to translate trading models into production-ready C++ code; Maintain, refactor, and optimize live trading strategies; Design and implement new ultra-low-latency trading strategies; Continuously reduce latency across critical components of the trading platform; Improve tick-to-trade performance throughout the trading stack; Build efficient workflows between quantitative research and engineering; Take ownership of production strategy code and its ongoing performance. If you're interested in building ultra-low-latency trading systems and developing software for quantitative trading, we'd love to hear from you. You can apply through our website or contact us directly on Telegram: @i_bartsevich