Quantitative Developer Intern (Summer 2027 - New York)

Jain Global; New York (NY); Sur place; USD 182 000 - 234 000; Plein temps

Résumé du poste

Jain Global seeks a Quantitative Developer Intern to join our Technology and Research team in New York. You will contribute to the development of advanced trading systems and analytical frameworks at the intersection of quantitative research, technology, and financial markets.

You will gain hands-on experience in data analysis, model implementation, and AI-driven systematic investment strategies while collaborating with portfolio managers, researchers, and technologists on real-world projects

Qualifications

• Pursuing a Master’s or Ph.D. in quantitative fields.
• Proficiency in Python or C++ with data structures and algorithms.
• Experience with AI tools and ML frameworks is a plus.

Responsabilités

• Design, develop, and optimize software tools, data pipelines, and research infrastructure to support trading and quantitative research.
• Apply strong computational and technical skills to problems at the intersection of trading and technology.
• Implement and evaluate ML/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.

Connaissances

Python

C++

Data structures

Algorithms

Statistical modeling

ML frameworks

Communication

Teamwork

Formation

Master’s or Ph.D. in Computational Finance/Math/CS/Statistics/ML

Description du poste

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 Technology team.

Job Description

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 Technology team.

Role Overview

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.

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.

Qualifications & Skills

• 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.

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 $182,000 for Master's students and $234,000 for Ph.D. students, which is specific to New York 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.