обновлено 24 дня назад
Quantitative Researcher (Machine Learning)
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
Quantitative Researcher (Machine Learning) (Python/C++/NLP/LLM): Developing high-performance trading systems, predictive features, research pipelines, and ML-driven alphas for liquid asset classes with an accent on high-frequency market data, alternative datasets, and distributed compute. Focus on engineering signals, deploying them into production, controlling overfitting, and improving models based on real trading performance.
Location: Hong Kong, Hong Kong
Company
Global multi-manager hedge fund investing across quantitative, tactical, fundamental equity, and discretionary macro and fixed-income strategies.
What you will do
- Engineer predictive features from high-frequency market data and unstructured alternative datasets for machine learning models.
- Build research pipelines on distributed compute clusters for tree-based models, deep learning, NLP, LLM, and related models.
- Design and prototype ML-driven alpha signals for cash equities, futures, and other liquid asset classes.
- Collaborate with quantitative portfolio managers, researchers, and developers to deploy signals into production.
- Iteratively improve models and signals using live performance data.
- Track advances in machine learning and present actionable research ideas.
Requirements
- MS or PhD in computer science, statistics, mathematics, or a related quantitative discipline from a top-tier university.
- At least 5 years of alpha-research experience at a leading buy-side firm or global bank.
- Expertise in tree-based models, deep learning, NLP/LLM, probability, and overfitting-control practices.
- Proficiency in Python and experience with distributed or hybrid compute environments; C++ or a similar language is preferred.
- Strong analytical, verbal, and written communication skills, with a proactive and ownership-driven approach.
Culture & Benefits
- Collaborative, teamwork-oriented environment where ideas are encouraged at all levels.
- Learning and educational offerings to support professional development.
- Opportunities to make an impact through internal networks, external partnerships, and service initiatives.
- Technology, infrastructure, and risk analytics resources supporting systematic trading.
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