Quantitative Researcher Summer Intern (Pipeline Team) 2025

Company Description

The Tudor Group of companies is a group of affiliated companies engaged in investment management of client and proprietary assets.  Paul Tudor Jones II formed Tudor Investment Corporation, the first of the Tudor Group companies, in 1980. The Tudor Group manages assets across fixed income, commodities, currencies, public and private equities, and related derivative instruments. The investment strategies of the Tudor Group include, among others, discretionary global macro, quantitative global macro, quantitative equity market-neutral, and equity long-short.

Tudor offers summer internships to exceptional undergraduate, graduate and PhD students who are interested in applying their unique skills and backgrounds to the financial markets. There is a minimum commitment of 10 weeks during summer. The internship runs from June 2 2025-August 8 2025.

Program highlights

Tudor’s internship program is structured to provide interns with both a practical hands-on learning experience and exposure to the various functions within a diverse, global macro strategy alternative investment firm. As a Tudor summer intern, you will have a unique opportunity to work at an intersection of investment management, quantitative analysis, and technology, and will work alongside some of the brightest minds in the industry, gaining first-hand knowledge of how a world-class alternative asset management firm operates. You will have the ability to build upon your technical skills and industry knowledge while gaining exposure to the firms’ senior business leaders. You will learn about the firms’ history, structure, culture, and core values; receive instruction from experienced members of the financial services community and attend social and networking events with peers and Tudor professionals. 

Job Description

Tudor’s Systems Trading Group seeks a quantitative researcher intern to work within a collaborative team that builds medium and low latency trading models in the liquid futures space. The candidate’s primary responsibilities will include researching and implementing fully automated systematic futures signals and strategies with a heavy emphasis on machine-learning based techniques.

**This position is for the Singapore location only**

Requirements

• Experience building statistical models from real world data
• Currently enrolled in an advanced degree program (MSc or PhD)
• Strong preference for advanced degrees in a quantitative field (e.g., Statistics, Machine Learning, Physics, Mathematics, Engineering)
• Understanding of probabilities, statistics, and optimization
• Exposure to large datasets
• Strong programing skills: experience programming in a high-level language (e.g., Python) and low-level language experience (e.g., C, C++) is a plus but not a requirement.
• High attention to detail
• Creative thinker
• Entrepreneurial spirit
• Enjoys ownership of projects and takes responsibility for them