The company provides systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures and foreign exchange. The core of the firm’s effort is rigorous research into a wide range of market anomalies, fueled by unparalleled access to a wide range of publicly available data sources.
The company is looking for a hybrid role of quantitative research analyst and software developer to join a fast-growing team and contribute to multiple new initiatives that aim to expand the business. The candidate should have a passion in technology to provide optimal solution to research and trading. In this team, the candidate will gain full-stack exposure and build expertise in multiple aspects of quantitative research and trading. The candidate will play an essential role for the team’s successful expansion. The candidate will also collaborate with researchers to innovate research tools which will take research and trading capability to the next level.
Key Responsibilities
- Develop, maintain, and improve the production trading system. Conduct research to further enhance team’s monetization.
- Build technologies that bolster research & trading productivity.
- Expand the system to new markets and asset classes.
Skills, Knowledge & Experience
- Master/PhD degree in math, physics, computer science, engineering, or other related discipline.
- 1-3 years of professional experience in software development or quantitative research.
- Strong combination of quantitative skills and programming skills.
- Proficiency in Python 3 and either C++ or Java.
- Familiarity with the Linux environment
