Arrowstreet Capital: Research Associate/Data Analyst

Support our research team investment ideas, help code ideas into signals, test, and producing return and risk forecasts to drive trading decisions.

Arrowstreet Capital Company: Arrowstreet Capital
Location: Boston, MA

We offer interesting projects and competitive compensation in a collegial yet high achieving environment in a growing firm with many future opportunities. If you enjoy a hands-on, fast-paced environment and want to become an integral part of a growing company, you will find Arrowstreet to be a richly rewarding experience!


Our research group is a collaborative, intellectually rigorous team responsible for coming up with investment ideas, codifying those ideas into signals, back-testing the signals, and producing return and risk forecasts based on the signals to drive trading decisions. We are looking for a new data analyst to join our research team. Responsibilities typically grow in line with experience and abilities. Typical responsibilities will include:
  • Merging, structuring, and analyzing large amounts of data from various sources
  • Assessing quality of historical panel data; diagnosing deficiencies and prescribing fixes
  • Working with developers to design feeds for new data sources from third-party vendors
  • Participating in data architecture decision making to support research analytics platform
  • Performing ad-hoc exploratory statistics and analysis on research data sets
  • Writing and maintaining code that supports the investment research process

The ideal candidate will have:
  • An undergraduate or graduate degree from a top educational institution in a technical field, such as applied mathematics, economics, engineering or computer science
  • Demonstrated professional or academic success (recent graduates are encouraged to apply)
  • Strong analytical, quantitative, and problem solving skills
  • Expert programming skills
  • 2+ years of experience with object-oriented programming in a language such as C#, C++, Java, or Python
  • 2+ years of experience with a statistical computing environment such as Stata, R, or SAS
  • Understanding of probability, statistics, linear regression, and time-series analysis
  • Interest in financial markets
  • Great communication skills
  • Familiarity with large stock market data sets is helpful
  • Experience with SQL, .NET, or data visualization is a plus

Qualified candidates should submit a resume to .

Please indicate that your found our posting on KDnuggets and include a cover letter detailing your short and long-term career goals as well as any salary requirements, and include copies of transcripts. No telephone calls please.