2027 PhD Summer Associate, Machine Learning Research

As quantitative investors, research is the foundation of everything we do. We manage a range of alternative and long-only strategies designed to meet the needs of institutional and wealth investors around the world.

AQR’s culture reflects the firm’s academic roots and entrepreneurial spirit. Our collaborative environment fuels innovation and encourages employees to ask thoughtful questions, think creatively and bring new ideas forward.

Continuous learning is an important part of the employee experience, helping our people build skills and grow throughout their careers. Employees at every level have opportunities to contribute, regardless of title or tenure.

The firm has 800 employees with headquarters in Greenwich, Connecticut and offices in London, Frankfurt, Dubai, Hong Kong, Sydney and Bengaluru. The Internship Program Our 10-week summer program puts real work of the firm in your hands.

You will work alongside brilliant people, gain insights and know-how from our Quanta Academy Summer Term curriculum, and experience what it’s like to work at the pinnacle of global, systematic investing.

Learning is the cornerstone of our culture and plays an active role in the internship experience — through daily collaboration and interaction with employees at all levels, in workshops and classes, and most significantly by working on projects that matter to the many clients we serve.

Our unique AQR Quanta Academy: Summer Term learning series, a structured program, consists of over 40 hours of educational, skill-building and networking events.

Your Role AQR Capital Management is seeking a Research Associate to join our team of professionals and focus on our machine learning proprietary strategies related to global stock selection, asset allocation, risk management and trading.

Candidates should be motivated and enthusiastic about implementing new ideas and are expected to be hands-on and self-sufficient in conducting all aspects of research projects.

The role will involve collaboration with other researchers, portfolio managers, risk managers and traders to develop new and improve current investment strategies.

As a summer intern your projects will include aspects of the following: • Performing statistical and economic research using financial data to develop new, and improve current machine learning investment strategies in collaboration with existing research teams • Conducting research on various aspects of the implementation of investment strategies such as trading cost models, risk models, optimization, and portfolio construction • Adding features to proprietary research system to implement new research ideas • Participating in the design and development of research infrastructure for the purpose of conducting economic and statistical research What You’ll Bring • December 2027 or Spring 2028 PhD candidate from a top program in finance, economics, or a quantitative discipline (Operations Research, Applied Math, Computer Science, Statistics, etc.

) • Strong understanding of machine learning concepts and how they are applied to finance preferred • Research experience with AI and agentic frameworks preferred • Experience with high performance computing and cloud computing • Experience with AIML modeling and machine learning software libraries such as TensorFlow or PyTorch • Experience conducting empirical research, including the cleaning, structuring, and analyzing large data sets • Strong background in econometrics or statistics • Knowledge of optimization methods • Coding experience in Python, R, C++, or MATLAB required • Strong analytical and problem solving skills • Strong presentation skills and ability to discuss and explain involved concepts in both verbal and written form AQR is an Equal Opportunity Employer.