Quantitative Research Intern

Job summary

This internship program lasts 4-6 months, commencing in 2026, primarily in April, May, or June. It is designed for penultimate or final year students pursuing a Bachelor's or Master's degree in a quantitative field.

Qualifications

• Currently enrolled in an advanced degree program in data science, statistics, mathematics, physics, or engineering.
• Strong technical knowledge in statistics, machine learning, NLP, or AI techniques is advantageous.
• Proficiency in at least one programming language, such as Python, C++, or C#.
• Experience with large datasets across various time frames is a plus.
• Ability to multi-task in a fast-paced environment with attention to detail.
• Strong communication skills and fluency in English; additional languages are a plus.

Responsibilities

• Develop high-quality predictive signals by analyzing diverse datasets to uncover statistical patterns and market opportunities.
• Collaborate with researchers to refine methodologies and lead the research cycle from idea generation to implementation.
• Contribute to the systematic trading platform by monitoring signal behavior, tracking performance, and enhancing execution efficiency.
• Work closely with senior researchers and traders to refine and scale systematic processes, applying quantitative and programming skills.

Skills

• Curiosity, creativity, and collaboration are essential traits.
• Passion for learning and tackling challenges.

Education

• Enrollment in a relevant advanced degree program.

Tools

• Familiarity with programming languages such as Python, C++, or C#.