2027 PhD Summer Associate, Machine Learning Research
About The Position
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
Requirements
- 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.)
- 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
Nice To Haves
- Strong understanding of machine learning concepts and how they are applied to finance preferred
Responsibilities
- 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
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What This Job Offers
Career Level
Intern
Education Level
Ph.D. or professional degree
