- Hong Kong Hong Kong
DARMAX GLOBAL Hiring! Full Time Quantitative Research Analyst — Machine Learning in Hong Kong - Ricebowl
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Job Description
Responsibilities
A leading quantitative investment firm is hiring a Quantitative Research Analyst to develop machine-learning-driven equity signals. This is a research seat for someone who builds predictive signals from rich and unconventional data and turns them into investable alpha.
The role
- Develop cross-sectional equity signals using machine-learning methods across global regions
- Engineer signals from alternative data — and apply NLP / LLM-based text analysis to corporate disclosures and other sources
- Enhance and diversify multi-factor signal libraries, with a focus on low-correlation, downside-protective ideas
- Monitor signal performance, benchmark against historical distributions, and support ad hoc analytics
You will have
- An advanced degree (MFE, MS, or PhD) in a quantitative discipline
- Around 2–4 years in quantitative equity research (exceptional recent graduates considered)
- Strong Python (pandas, scikit-learn, XGBoost) and machine-learning fluency; R a plus
- Hands-on experience with factor research, alternative data, and point-in-time datasets
Why apply
A research-led environment where strong ideas get backed and your signals reach live portfolios. Highly competitive compensation.
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