S
Quantitative Researcher
Schonfeld
New This Week
Quant ResearchAsset ManagementSenior (6-10 yrs)On-siteHedge Fund
For experienced quant researchers with ML expertise seeking to develop alpha signals using cutting-edge AI at a top-tier multi-manager hedge fund.
AI → Finance
Location
Hong Kong
Posted
Mar 19, 2026
Develop ML-driven alpha signals using deep learning, NLP/LLM, and alternative data at a global multi-manager hedge fund.
## About the Role
Schonfeld is a global multi-manager hedge fund that strives to deliver industry-leading risk-adjusted returns for its investors. As a Quantitative Researcher on the systematic trading team, you will develop ML-driven alpha signals across equities, futures, and liquid assets.
## Responsibilities
- Engineer predictive features from high-frequency market data and unstructured alternative datasets for ML models
- Develop research pipelines on distributed compute clusters for tree-based models and deep learning
- Design ML-driven alphas for equities, futures, and liquid assets
- Deploy signals to production with iterative performance improvements
- Track ML advances including NLP/LLM developments and present ideas to the team
## Requirements
- MS or PhD in computer science, statistics, mathematics, or related quantitative field from top-tier university
- Minimum 5 years alpha-research experience at a leading buy-side firm or global bank
- Expertise in tree-based models, deep learning, and NLP/LLM
- Python proficiency (C++ preferred); distributed computing experience
- Strong analytical and communication skills
Skills & Technologies
PythonC++deep learningNLP/LLMtree-based modelsdistributed computingalpha researchalternative data
Best Backgrounds
- quantitative research
- machine learning research
- computational finance
- applied mathematics
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