About
The employer is a start-up quantitative trading firm based in Singapore, developing a next-generation platform.
The role
Join our team to conduct research and develop strategies.
What you will do
- 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.
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).
EA licence 15C7529
EA Personnel R1985185
At Accela Talent we believe in providing business leaders with the freedom to focus on their core business offering by assisting them in building a world-class team. Accela works with a variety of clients across industries and position types.