AQR Capital Management is seeking to improve its global stock selection strategies by developing new and improving current investment strategies
Requirements
- Proficient programming in Python required
- Experience with translating mathematical models and algorithms into code
- Ability to manipulate large financial data sets for empirical research and handle complex systems
- Experience working with alternative data preferred
- Experience with statistical and machine learning software libraries such as scikit-learn, TensorFlow or PyTorch
- Strong quantitative skills with demonstrated understanding of mathematics, probability, statistics and linear algebra
Responsibilities
- Engage in alpha research and other quantitative analysis to improve current investment strategies in collaboration with existing research team
- Perform statistical and economic research using alternative and traditional financial data to develop new alpha signals
- Build alpha-generating signals from scratch, including cleaning and processing large-scale raw data with effective programming tools, feature-engineering based on economic and mathematical intuitions, building, training and fine-tuning machine learning architectures for cross-sectional or time-series prediction, and systematically evaluating the effectiveness of the signals
- Occasionally, conduct research on various aspects of the implementation of investment strategies such as trading cost models, risk models, optimization, and portfolio construction
- Add features to proprietary research system to implement new research ideas
Other
- B.S. degree from a top institution in computer science, engineering, mathematics, statistics, operations research, physics or another quantitative discipline
- 0-3 years’ experience working in a data driven research environment with an alpha focus
- Ability to work independently as well as part of a team
- Demonstrated ability to express and articulate ideas and thought processes in both verbal and written form
- Advanced degrees preferred
