Akuna Capital is seeking a Quantitative Researcher to develop trading strategies and predictive models by combining quantitative rigor with deep expertise in financial markets to drive the development of trading strategies and predictive models.
Requirements
- Programming experience in Python or C++
- Expertise in statistics and machine learning
- Financial experience or knowledge of trading is a plus
Responsibilities
- Develop trading strategies using statistical and machine learning algorithms
- Drive improvements in predictive models through rigorous signal and feature research
- Design and optimize machine learning workflows to support scalable, efficient, and reproducible research
Other
- BS/MS/PhD degree in a technical field – Engineering, Computer Science, Math, Physics, or similar
- 3+ years of strong professional work experience in statistics, machine learning or related area
- Proven research background in academic or professional environment
- The ability to react quickly and accurately to rapidly changing market conditions, including the ability to quickly and accurately respond and/or solve math and coding problems are essential functions of the role
- Strong collaboration and communication skills
