обновлено 8 часов назад
Experienced MFT Quantitative Researcher
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Experienced MFT Quantitative Researcher (Quantitative Trading/Machine Learning): Developing intraday-to-few-day quantitative alpha signals and systematic trading strategies for APAC equities and futures with an accent on time-series modeling, market microstructure, and portfolio construction. Focus on applying machine learning and high-performance computing, translating research into production-ready strategies, and building scalable models from order book and tick data.
Location: Hong Kong office
Company
is a proprietary trading firm focused on quantitative research, technology, and systematic trading.
What you will do
- Research and develop intraday-to-few-day quantitative alpha signals and systematic trading strategies.
- Apply machine learning and high-performance computing to build scalable quantitative trading models.
- Translate quantitative models into production-ready strategies in collaboration with researchers, engineers, and traders.
- Contribute to research methodology, tooling, and best practices across the global quantitative research team.
Requirements
- Master’s degree in STEM, computer science, or a related quantitative field; a PhD is preferred.
- At least 3 years of quantitative trading experience.
- Proven track record of profitable mid-frequency strategies for APAC equities and/or futures markets.
- Strong knowledge of time-series modeling, signal research, portfolio construction, and market microstructure.
- Experience developing mid-frequency signals from order book and tick data and translating quantitative methods into profitable strategies.
- Excellent communication skills and experience managing stakeholders across trading and technology.
Nice to have
- PhD in a STEM, computer science, or related quantitative discipline.
Culture & Benefits
- Work in a technology-driven proprietary trading environment.
- Collaborate with a global quantitative research team.
- Contribute to an entrepreneurial culture centered on quantitative research and trading technology.
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