HFT Quantitative Researcher

Навыки

• C++
• Решения на данных
• Финтех и платежи
• Machine Learning
• Ответственность за результат
• 152-ФЗ / персональные данные
• Python

О компании и продукте

• The company is scaling rapidly, with a strong emphasis on performance, ownership, and continuous iteration. We are looking for an HFT Quant Researcher to join our core trading team

Задачи

• Monitor live HFT strategy implementation and execution quality on assigned markets
• review intraday trade logs and identify deviations, inefficiencies, or anomalies
• Analyze strategy performance metrics and propose concrete, evidence-based improvements
• Collaborate closely with the trading team to understand strategy intent and translate observations into actionable optimizations
• Focus on latency-sensitive aspects of trading — execution paths, timing precision, and system-level performance
• Contribute to strategy research and evaluation as the team expands into new markets and instruments
• You will monitor and analyze live strategy performance, identify areas for improvement, and contribute to latency optimization

Требования

• 1+ years of experience in quantitative trading, HFT strategy development, or a closely related role
• Solid understanding of HFT mechanics: order book dynamics, execution quality, latency sensitivity, and market microstructure
• Experience working with latency-sensitive systems at cloudbox level or above
• Strong programming skills in Python and/or C++
• familiarity with trading infrastructure and tooling
• A proven Fintech global company with an advanced stack and decade of successful trading experience is developing a proprietary platform to trade thousands of instruments across dozens of markets
• The recruiter will disclose all details in person immediately upon response
• Телеграм-бот с вакансиями Вакансии Зарплаты Каталог Работодателям Разместить вакансию Зарегистрироваться Войти Нужна помощь?
• This is a hands-on role – you will be reviewing trade logs daily, digging into the details, and proposing data-driven enhancements
• The ideal candidate is someone who thinks like a trader, acts like an engineer, and takes ownership of outcomes

Паспорт вакансии

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