Quant Research Intern (Summer 2027) – London

Jain Global LLC; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Mentorship

Ownership of projects

Exposure to multi-strategy investing

Impact projects

Entrepreneurial culture

Global reach

Job summary

Jain Global LLC in London seeks a Quant Research Intern for Summer 2027 to work in the Systematic Trading team. You will help develop data-driven trading models, test strategies, and collaborate with researchers and technologists on scalable systems.

The program combines data analysis, model development, and hands-on implementation, with mentorship and potential for future opportunities in a fast‑growing multi-strategy firm.

Qualifications

• Pursuing a Master’s or Ph.D. in Machine Learning, Computational Finance, Mathematics, Computer Science, Statistics, or a related field.
• Strong programming skills in Python and understanding of statistical modeling.
• Ability to analyze large datasets and extract actionable insights; teamwork and communication skills.

Responsibilities

• Assist in collecting, cleaning, and managing large financial datasets.
• Develop and test quantitative models for pricing, forecasting, and trading.
• Collaborate with researchers and developers to design systematic trading strategies.
• Contribute to process improvements to enhance efficiency and reduce risk.
• Apply programming and analytical skills to solve problems in a fast-paced research environment.
• Communicate findings clearly to team members and participate in discussions.

Skills

Python

Statistical modeling

Data analysis

Teamwork

Communication

Machine learning concepts

Education

Master's or PhD in a related field

Tools

Python

Job description

Jain Global LLC in London seeks a Quant Research Intern for Summer 2027 to work in the Systematic Trading team. You will help develop data-driven trading models, test strategies, and collaborate with researchers and technologists on scalable systems.

The program combines data analysis, model development, and hands-on implementation, with mentorship and potential for future opportunities in a fast‑growing multi-strategy firm.