Arrowstreet Capital is looking to solve investment and trading decision problems through quantitative research and data analysis to drive trading decisions and manage global equity portfolios for institutional investors.
Requirements
- Understanding of probability, statistics, linear regression, time-series analysis, linear algebra, calculus, optimization and portfolio theory
- Experience with a statistical computing environment such as STATA, R, MATLAB, or Python
- Knowledge of the application of statistics to economics (including econometrics or regression analysis)
- Experience analyzing large data sets
- Strong analytical, quantitative, programming and problem solving skills
Responsibilities
- Performing statistical analysis across multiple large complex data sets from a variety of structured and unstructured sources
- Researching predictable patterns in asset returns, risks, trading costs and other data relevant to financial markets
- Performing portfolio construction research using our proprietary simulation capability
Other
- Enrolled in an undergraduate or graduate program from an educational institution in finance, mathematics, economics, or a closely related discipline emphasizing quantitative and financial analysis
- Expected degree completion within a year of the internship
- Demonstrated academic success
- Excellent communication skills, including data visualization
- High energy and strong work ethic
