Quant Research Intern (Summer 2027 – London)

Jain Global (UK) Partners LLP; Greater London; On-site; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Mentorship

Ownership of projects

Global exposure

Job summary

Jain Global (UK) Partners LLP in London seeks a Quant Research Intern to work with the Systematic Trading team. You will help develop and test data-driven trading strategies, gain hands-on experience in data analysis, model development, and scalable trading systems.

The internship offers collaboration with portfolio managers and researchers, exposure to multi-market strategies, and opportunities for future full-time roles.

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 or another object‑oriented or functional programming language.
• Solid understanding of statistical modeling, including both linear and non‑linear techniques.
• Ability to analyze and interpret large datasets and extract actionable insights.
• Demonstrated interest in applying technology and quantitative methods to solve complex trading problems.
• Strong communication and teamwork skills with the ability to collaborate in a dynamic, high‑performance environment.

Responsibilities

• Assist in collecting, cleaning, and managing large and complex financial datasets for analysis.
• Develop and test quantitative models for pricing, forecasting, and trading using statistical and mathematical techniques.
• Collaborate with quantitative researchers and developers to design systematic trading strategies.
• Contribute to process improvements that enhance efficiency, optimize runtime, and reduce operational risk.
• Apply programming and analytical skills to solve applied problems in a fast‑paced, research‑driven environment.
• Communicate findings clearly to team members and contribute to ongoing research discussions.

Skills

Python

Statistical modeling

Data analysis

Communication

Team collaboration

Education

Master’s or Ph.D. in Machine Learning/Computational Finance/Mathematics/CS/Statistics

Tools

Python

Pandas

NumPy

Job description

Job Description:

Quant Research Intern (Summer 2027 – London)

About Jain Global

Jain Global is an innovative multi-strategy investment firm founded in July 2024 by Bobby Jain. With over 400 employees across New York, Houston, London, Singapore, and Hong Kong, we bring together diverse teams to pursue excellence across asset classes and investment styles. We are seeking driven, intellectually curious individuals to join our growing Systematic Trading team.

Role Overview

We are seeking a highly motivated intern to join the Systematic Trading team at Jain Global. This role offers a unique opportunity to work at the intersection of quantitative research, technology, and financial markets. As a member of our internship program, you will collaborate with portfolio managers, researchers, and technologists to develop and test data-driven trading strategies. You will gain hands‑on experience in data analysis, model development, and systematic investment approaches, while contributing to the design and optimization of scalable trading systems. This internship is designed for individuals with strong analytical and programming skills who are passionate about applying quantitative methods to real-world market problems.

Responsibilities

• Assist in collecting, cleaning, and managing large and complex financial datasets for analysis.
• Develop and test quantitative models for pricing, forecasting, and trading using statistical and mathematical techniques.
• Collaborate with quantitative researchers and developers to design systematic trading strategies.
• Contribute to process improvements that enhance efficiency, optimize runtime, and reduce operational risk.
• Apply programming and analytical skills to solve applied problems in a fast‑paced, research‑driven environment.
• Communicate findings clearly to team members and contribute to ongoing research discussions.

Qualifications & Skills

• 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 or another object‑oriented or functional programming language.
• Solid understanding of statistical modeling, including both linear and non‑linear techniques.
• Ability to analyze and interpret large datasets and extract actionable insights.
• Demonstrated interest in applying technology and quantitative methods to solve complex trading problems.
• Strong communication and teamwork skills with the ability to collaborate in a dynamic, high‑performance environment.

Why Join Jain Global

• Mentorship: Work directly with senior investors and researchers in quantitative trading.
• Ownership: Lead meaningful projects and drive innovation in a collaborative, entrepreneurial setting.
• Exposure: Gain insight into a multi‑strategy investment model and the inner workings of systematic trading.
• Impact: Develop solutions that influence real investment decisions across asset classes.
• Entrepreneurial Spirit: Join a culture that encourages creativity, independent thinking, and the pursuit of innovative ideas.
• Global Reach: Collaborate with teams across New York, Houston, London, Singapore, and Hong Kong.
• Career Path: Potential for full‑time opportunities upon successful completion of the internship.

Compensation

The estimated base salary range for this position is £70,000 for Master’s students and £110,000 for Ph.D. students, which is specific to London and may change in the future.

We Are an Equal Opportunity Employer

As an employer, we believe every individual brings with them unique diversity of thought and perspectives to meaningfully enrich perspectives of Jain Global teams to drive competitive performance. We believe an inclusive environment can yield exceptional contributions. We are a purpose‑built global investment firm where every business is integral, and every role is positioned to make an impact. In a collaborative, intellectually rigorous environment, we invest in our people to build enduring careers and win together.