Qube Research & Technologies
2027 - Internship, Quantitative Research and Trading
Eligibility
- Penultimate or final-year students completing a bachelor’s, master’s or PhD degree.
Internship for penultimate or final-year students in quantitative research and trading focused on developing predictive signals, research, and live strategy deployment in a quantitative investment environment.
Responsibilities
- Develop predictive signals from large and varied datasets.
- Explore data for patterns and form hypotheses driving them.
- Design tests and iterate through research cycles.
- Collaborate with researchers to distinguish promising signals from noise.
- Contribute to live deployment by monitoring signals.
- Track performance and improve execution efficiency.
- Identify and manage risks.
- Use quantitative analysis and programming to understand live systems and improve robustness and scalability.
Requirements
- Pursuing an advanced degree in quantitative fields like Data Science, Statistics, Mathematics, Physics or Engineering.
- Strong analytical and quantitative skills.
- Programming experience in Python, C++ or C#.
- Knowledge of statistics, machine learning, NLP or AI techniques is useful but not required.
- Experience exploring large datasets is a plus.
- Strong problem-solving and attention to detail.
- Ability to work independently and collaboratively.
- Clear communication skills.
Skills
- Python
- C++
- C#
- statistics
- machine learning
- NLP
- AI
- data analysis
- quantitative analysis
- Employer posted
- Last checked