About this role
The quantitative trading team at Flow Traders develops systematic trading models by leveraging computer science, statistics, and machine learning to generate value in financial markets. Joining the Hong Kong office, the incoming Quantitative Researcher will design, build, and optimize state-of-the-art algorithms, analyze large datasets, and collaborate with traders to move models into live production.
This position exists to tackle challenging quantitative problems and refine existing models based on live market performance. Ideal candidates possess strong problem-solving abilities, operate well on open-ended and ambiguous tasks, and demonstrate a high degree of ownership and entrepreneurship.
What you will do
- Design and deploy advanced systematic trading models and algorithms.
- Examine large datasets to uncover actionable patterns and generate trading signals.
- Partner with traders and technologists to transition research models into live production environments.
- Track live market performance to continuously monitor and refine existing models.
What you need
- Hold a PhD degree in Mathematics, Physics, Computer Science, or a related quantitative field.
- Demonstrate strong knowledge of statistics and linear algebra.
- Show proficiency in implementing models and algorithms using languages like Python or C++.
- Possess strong analytical skills to independently solve open-ended and ambiguous problems.
- Exhibit ownership and an entrepreneurial mindset.
Nice to have
- Experience in Deep Learning
Skills and tech stack
Questions candidates ask
Where is the role located?
This position is based at the Flow Traders Hong Kong office. You will work directly with the quantitative trading team on-site.
What background is required for this position?
Candidates must hold a PhD degree in Mathematics, Physics, Computer Science, or a related quantitative field. Strong statistical and linear algebra knowledge is also required.
What programming languages will I use?
You need proficiency in implementing models and algorithms in programming languages such as Python or C++. Experience in Deep Learning is also considered a plus.
Who will I work with on a daily basis?
You will collaborate closely with traders and technologists to bring models from research into live production. The team works within a leading proprietary trading firm alongside industry professionals.