Arrowstreet Capital is looking to solve complex quantitative problems in finance and research to drive trading decisions and produce return, risk and trading cost forecasts
Requirements
- Knowledge of software design paradigms, data structures, and numerical algorithms
- Understanding of probability and statistics, including linear regression and time-series analysis
- Strong analytical, quantitative, programming and problems solving skills
- Experience with Python or R
- Knowledge of cloud, distributed and high-performance compute, numeric computation, data visualization and APIs
Responsibilities
- Solving complex quantitative problems with Python or R
- Designing and developing tools or libraries to enhance our data science technology stack
- Performing exploratory data analysis across large complex data sets to inform investment and signal ideas
- Implementing performance improvements in our data analysis and numerical programming libraries
- Running POCs to evaluate technologies and libraries in cloud and PyData ecosystems
Other
- Enrolled in an undergraduate or graduate program from an educational institution in a technical field, such as computer science or engineering, with an additional focus in data science, applied mathematics, economics
- Expected degree completion within a year of the internship
- Excellent communication and collaboration skills
- Interest in financial markets (prior experience not required)
