Quantitative Developer Intern (Summer 2027 - New York)

Jain Global • New York, NY

3d • Onsite

About The Position

We are seeking a Quantitative Developer Intern to join our Technology and Research team. This internship offers the opportunity to work at the intersection of quantitative research, technology, and financial markets, contributing to the development of advanced trading systems and analytical frameworks. As a Quantitative Developer Intern, you’ll collaborate with portfolio managers, quantitative researchers, and technologists to design and optimize systems that turn data into insights and insights into execution. You will gain hands-on experience in data analysis, model implementation, and AI-driven systematic investment strategies while working on real-world projects that impact our trading operations.

Requirements

• Pursuing a Master’s or Ph.D. in Computational Finance, Mathematics, Computer Science, Statistics, Machine Learning, or a related field.
• Strong proficiency in Python or C++, with a solid grasp of data structures, algorithms, and numerical computation.
• Solid understanding of statistical modeling, including both linear and non-linear techniques.
• Demonstrated interest in AI tools, machine learning frameworks, and their applications in quantitative research.
• Strong communication and teamwork skills with the ability to collaborate in a dynamic, high-performance environment.

Responsibilities

• Design, develop, and optimize software tools, data pipelines, and research infrastructure to support trading and quantitative research.
• Apply strong computational and technical skills to solve problems at the intersection of trading, quantitative modeling, and technology.
• Implement and evaluate machine learning and AI tools to enhance trading models, research workflows, and automation.
• Perform exploratory data analysis and statistical modeling on large, complex datasets to inform signal and strategy development.
• Support automation of data workflows and real-time analytics processes for production systems.
• Collaborate with researchers and engineers to backtest strategies, analyze performance, and deploy research insights into live environments.
• Contribute to the continuous improvement of system performance, scalability, and reliability.

Benefits

• 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

What This Job Offers

• Career Level: Intern