To expand business by improving data ETL pipeline, building technologies to bolster research & trading efficiency, and expanding to new markets and asset classes at Cubist Systematic Strategies
Requirements
- Master/PhD degree in math, computer science, engineering, or other related fields
- 1-3 years of professional experience in software development or data science/analytics
- Strong combination of quantitative skills and programming skills
- Proficiency in Python
- Knowledge of common data analytics tools (e.g., SQL, pandas) is a plus
- Familiarity with the Linux environment
Responsibilities
- Improve data ETL pipeline and build tools to analyze new data efficiently
- Build technologies to bolster research & trading efficiency
- Expand to new markets and asset classes
- Manage day-to-day operations in a fast-paced environment
Other
- Excellent written and verbal communication skills
- Willing to work in a fast-paced start-up environment
- Commitment to the highest ethical standards
