Quantitative Research & Development Intern
Job Description:
Quantitative Research & Development Intern - with full-time conversion opportunity
About Us
A Hong Kong SFC-licensed (Type 4 & 9) quantitative research and technology firm, with a mission to combine deep market expertise with cutting-edge technology to build world-class systematic trading systems across global financial markets.
The Role
Seeking for exceptional undergraduate and graduate students from top universities to join my client's team as summer interns with full - time conversion opportunity . This is an opportunity to work alongside experienced quantitative analysts and developers on real-world challenges at the intersection of finance, technology, and machine learning.
As an intern, you will:
- Apply advanced quantitative methods to discover structural patterns in global financial markets
- Develop predictive market indicators and risk factors using machine learning techniques
- Work with large-scale datasets, leveraging tools from linear regression to recurrent neural networks
- Implement and backtest trading models and trading systems
- Drive innovative research, particularly in machine learning and unconventional data
- Collaborate with researchers and developers to build and refine systematic trading strategies
- Contribute to both research ideation and production-grade code implementation
Requirement
Academic Background:
- Undergraduate or graduate student in Computer Science, Mathematics & Statistics, Physics, Engineering, or other quantitative science disciplines
- Strong academic record with demonstrated analytical excellence
Technical Skills:
- Proficiency in Python or R (C++ is a plus)
- Excellent knowledge and training in statistical probability
- Experience with machine learning frameworks (TensorFlow, PyTorch, scikit-learn) is highly desirable
- Familiarity with data analysis libraries (NumPy, Pandas)
- Database programming experience (SQL, etc.)
- Experience in signal processing, computer image processing, or natural language processing is preferred
- Strong foundation in probability, statistics, linear algebra, and algorithms
Personal Attributes:
- 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
What Our Client Offers
- Hands-on experience working on real quantitative research and development projects
- Mentorship from experienced quantitative analysts, researchers, and developers
- Clear pathway to full-time employment — successful interns will be invited to join the firm permanently
- Generous stipend and housing assistance for eligible students
- Modern office environment in a growing fintech ecosystem
- Opportunity to work with world-class professionals from leading global financial institutions
Required Skills:
Environment FinTech Analysts Data Analytical Thinking Development PyTorch Scikit-Learn Deep Learning Trading Pandas TensorFlow Physics Analysis Algorithms NumPy Statistics Developers R Mathematics Machine Learning C Data Analysis Research Finance Engineering Science Python