Quantitative Research & Development Intern
On-siteHong Kong, Hong Kong
Hong Kong, Hong KongOn-siteInternshipEntry LevelStartup
InternshipEntry LevelStartup
Job Summary
Apply advanced quantitative methods to discover structural patterns in global financial markets and develop predictive market indicators using machine learning techniques. Implement and backtest trading models while collaborating with researchers to build and refine systematic trading strategies. Contribute to both research ideation and production-grade code implementation, leveraging tools ranging from linear regression to recurrent neural networks. This summer internship offers full-time conversion opportunity for students in quantitative disciplines.
Required Qualifications
- Undergraduate or graduate student in Computer Science, Mathematics & Statistics, Physics, Engineering, or other quantitative science disciplines
- Strong academic record with demonstrated analytical excellence
- Proficiency in Python or R
- Excellent knowledge and training in statistical probability
- Strong foundation in probability, statistics, linear algebra, and algorithms
Desired Qualifications
- Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn)
- Familiarity with data analysis libraries (NumPy, Pandas)
- Database programming experience (SQL, etc.)
- Experience in signal processing, computer image processing, or natural language processing
- C++
- Genuine passion for financial markets and quantitative trading
- Intellectual curiosity and excitement for applying modern machine learning to real-world problems
- Strong problem-solving and analytical thinking skills
- Ability to work both independently and collaboratively in a fast-paced environment
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