Quantitative Researcher intern
About the role
The Quantitative Research Intern role involves researching, prototyping, and implementing quantitative ideas and time-series features. Interns will design and conduct empirical tests, develop efficient code, analyze strategy behavior, troubleshoot issues, and optimize algorithm performance. The position requires strong analytical and problem-solving skills, programming proficiency in Python, and a solid understanding of data structures, algorithms, and statistical reasoning. The company offers a fast-paced, high-impact environment with mentorship and opportunities for professional growth. Applicants are encouraged to send their CVs to the provided email address.
Must have
- A degree in Computer Science, Mathematics, Statistics, Engineering, Physics, or a related field | Undergraduates are most welcome to apply
- Strong analytical thinking and problem-solving skills.
- The ability to work with imperfect data and ambiguous real-world scenarios.
- A quick learner with a proactive approach and a strong sense of ownership.
- Strong programming skills in Python (C++ is an advantage).
- Solid understanding of data structures and algorithms.
- Good knowledge of time-series data and statistical reasoning.
- Strong debugging skills and awareness of performance optimization.
Nice to have
- Exposure to quantitative finance or financial markets.
- Experience with real-time or performance-sensitive systems.
- Familiarity with machine learning models, backtesting, or data pipelines.
Technologies
- C++
- Data Pipelines
- Machine Learning
- Python
- Statistics
- Time Series
Highlights
This is a paid internship open to undergraduates and those with a related degree. Applications should be sent to careers.talentedgeglobal@gmail.com.
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