Quantitative Researcher (Graduate)

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