Quantitative Research Intern
About the role
This is a paid, 1-year Quantitative Research Internship focused on developing, testing, and improving quantitative models and algorithms for financial markets, especially in algorithmic trading. The intern will work on research and experiments using machine learning techniques, develop efficient Python code, and collaborate with research and development teams. Candidates must have a strong background in Mathematics, Python programming, and Machine Learning, particularly with PyTorch, and should possess a diploma or bachelor's degree in a quantitative discipline. The role is highly technical and research-focused, requiring strong analytical and problem-solving skills.
Must have
- Diploma or Bachelor’s degree in Computer Science, Mathematics, Statistics, Data Science, AI, Engineering, Physics, or another quantitative discipline.
- Strong programming skills in Python, including Object-Oriented Programming (OOP), debugging, and testing.
- Hands-on experience with PyTorch and Neural Networks.
- Strong understanding of Probability, Statistics, Linear Algebra, and Calculus.
- Good knowledge of Data Structures and Algorithms.
- Familiarity with Linux and Git.
- Strong analytical, mathematical, and problem-solving skills.
Technologies
- Data Science
- Git
- Linux
- Machine Learning
- Neural Networks
- Python
- PyTorch
- Statistics
Highlights
Working hours are 1:30 PM – 10:30 PM Sri Lanka Time. The internship lasts for 1 year and is paid. Applicants should email their CV to careers@talent-edge-global.com.
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