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описание
The firm operates in high-frequency trading and develops innovative strategies and technology to make markets more liquid and efficient. It has been in business for seven years, has traded over 700bn+ USD, and has a 52-person team.
задачи
Work directly with senior traders and quant researchers to translate models into production-ready C++ code;
Design and implement new trading strategies with ultra-low latency in mind;
Maintain and improve live strategies through refactoring, profiling, and optimization;
Own latency-critical components and reduce tick-to-trade times across the stack;
Shorten the idea-to-production cycle by building cleaner handoffs between research and engineering.
требования
Extensive experience with modern C++ (17/20) in high-load, latency-sensitive systems;
Background in high-frequency trading, with an understanding of trading strategies and financial markets;
Solid grounding in financial mathematics, statistics, algorithms, and data structures;
Experience with multithreading and concurrency, including lock-free data structures;
Degree in a quantitative field: Computer Science, Mathematics, Physics, or Engineering;
Experience with monitoring stacks: Prometheus, Grafana;
Advanced level of English;
Nice to have: Python and Bash for automation, tooling, and diagnostics, strategy visualization tools for live P&L, latency, and behavior analysis, networking protocols including TCP/UDP, Multicast, and FIX, AWS or other cloud platforms for backtesting and research tasks.
условия
Remote with flexible hours, or Dubai with full relocation support;
Annual performance bonus;
Retention bonus;
Corporate workations in unusual locations twice a year.