Quantitative Researcher intern

🚀 WE’RE HIRING | Quantitative Research Interns (Paid Internship)
Are you passionate about data, algorithms, and solving complex problems? Do you enjoy turning ideas into efficient, reliable algorithms?
We’re looking for a Quantitative Research Interns to join our team and work on real-world quantitative challenges in a fast-paced, high-impact environment.
🔹 Key Responsibilities
Research, prototype, and implement quantitative ideas and time-series features.
Design and conduct empirical tests to evaluate signal quality, stability, and robustness.
Develop clean, maintainable, and efficient code with a strong focus on runtime and memory performance.
Analyze strategy behavior, troubleshoot issues, and identify root causes of failures.
Improve algorithm reliability through data-driven debugging and performance optimization.
Collaborate with team members to refine algorithms and enhance code quality.
Document assumptions, test results, and key findings to support rapid iteration and deployment.
🔹 What We’re Looking For
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.
🔹 Technical Requirements
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.
✨ What’s on Offer?
Opportunities to solve challenging, real-world algorithmic problems.
A fast-paced, high-impact technical environment.
Mentorship and opportunities for continuous learning and professional growth.
📩 Send your CV to: careers.talentedgeglobal@gmail.com

Work arrangement
Yes