Quantitative Research Intern (Finance, Remote)

Job summary

This internship program lasts 4-6 months, starting 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 multitask in a fast-paced environment while maintaining attention to detail.
• Excellent communication skills and fluency in English; additional languages are a plus.

Responsibilities

• Develop high-quality predictive signals by analyzing vast 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 systematic processes and ensure optimal strategy performance in production.

Skills

• Curiosity, creativity, and a collaborative mindset are essential.
• Strong analytical and technical skills demonstrated through participation in data challenges is encouraged.

Education

• Enrollment in a relevant advanced degree program is required.

Tools

• Familiarity with programming languages (Python, C++, C#) and statistical analysis tools is beneficial.