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