Quantitative Researcher (Graduate)
Nutné:PythonAI
About the company
The employer is a start-up quantitative trading firm based in Singapore, developing a next-generation platform.
Your tasks
Join our team to conduct research and develop strategies.
- Develop, test and calibrate statistical and machine-learning models that forecast prices in various assets.
- Build and analyse features from large market datasets, and evaluate model performance with rigorous out-of-sample methods.
- Apply modern techniques, including deep learning and reinforcement learning, to improve the firm's predictive models.
- Work with engineers to move research into production, and monitor how models perform in live trading.
- Document your work and present findings clearly to the research team.
Requirements
What you will need
- Bachelor's or Master's degree in statistics, computer science, mathematics, physics, engineering or another quantitative discipline (completed, or due within 12 months).
- Strong foundation in probability, statistics and linear algebra.
- Programming ability in Python (or a similar language) for data analysis and modelling.
- Clear written and verbal communication of methods and results.
Nice to have
- Research experience or internships in quantitative finance, machine learning or data science.
- Working knowledge of modern machine-learning methods, gained through coursework, research, internships or projects.
- Experience with C++ or deep-learning frameworks such as PyTorch.
- Strong results in quantitative competitions (for example mathematics, statistics, programming or data-science competitions).
Other
EA licence 15C7529 EA Personnel R1985185