Quantitative Research Intern

Job summary

This internship offers an opportunity for penultimate or final-year students pursuing a bachelor's, master's, or PhD degree in a quantitative field to gain hands-on experience in quantitative research and trading within a systematic investment management context. The internship lasts 4–6 months, starting in 2027, and is available in multiple locations including Aarhus, Budapest, Dubai, Geneva, London, Paris, and Zurich.

Qualifications

• Currently enrolled in an advanced degree program in Data Science, Statistics, Mathematics, Physics, Engineering, or a related quantitative field.
• Strong analytical skills with a focus on mathematics, statistics, and computation.
• Proficiency in at least one programming language such as Python, C++, or C#.
• Familiarity with statistics, machine learning, NLP, or AI techniques is beneficial but not required.
• Experience with large datasets and quantitative analysis is a plus.
• Strong problem-solving abilities with attention to detail.
• Ability to work independently and collaboratively across disciplines.
• Effective communication skills, particularly in explaining technical concepts.
• Fluent in English; additional languages are advantageous.

Responsibilities

• Develop predictive signals from diverse datasets and conduct iterative research to validate findings.
• Collaborate with systematic trading teams to deploy research findings in live trading environments.
• Monitor signal performance, enhance execution efficiency, and manage associated risks.
• Engage in problem-solving and contribute to the overall research process from hypothesis to implementation.

Skills

• Strong quantitative and analytical skills.
• Programming experience in relevant languages.
• Research and data analysis capabilities.
• Effective communication and collaboration skills.

Education

• Enrollment in a bachelor's, master's, or PhD program in a quantitative discipline.

Tools

• Familiarity with programming languages (Python, C++, C#).
• Experience with data analysis tools and techniques.