Arrowstreet Capital: Research Associate, Data Science
Join our collaborative, intellectually rigorous team responsible for coming up with investment ideas, coding into signals, and producing return and risk forecasts for trading decisions.

Location: Boston, MA
Web: www.arrowstreetcapital.com
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 associate to join our research team.
Responsibilities include:
- Performing ad-hoc exploratory statistical analysis across multiple large complex data sets from a variety of structured and unstructured sources
- Assessing the quality of historical panel datasets, diagnosing deficiencies and prescribing fixes
- Proposing, designing, and creating software to enhance our data science technology stack
- Staying up to date on the PyData ecosystem and evaluating new libraries and tools
- Working with developers to design feeds for new data sources from third-party vendors
- Writing and maintaining code that supports the investment research production processes
- Proposing and implementing performance improvements in our data analysis processes
- Researching predictable patterns in data relevant to financial markets
An ideal candidate will have:
- An undergraduate or graduate degree from a top educational institution in a technical field, such as data science, 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 in Python, C/C++, C#, or Java
- Expertise in OOP paradigms, data structures, and numerical algorithms
- 2+ years of experience with data analysis in Python with pandas and numpy
- Some experience with data analysis in R with tidyverse packages
- Understanding of probability and statistics, including linear regression and time-series analysis (machine learning skills are not required)
- Experience analyzing large data sets
- Curiosity and a willingness to learn new technologies
- Interest in financial markets (prior experience not required)
- Great communication skills, including data visualization In addition, experience with any of the following would be valuable:
- Hadoop, Spark, Kafka, and related technologies
- SQL
- Unix/Linux system tools and environment
- Basic familiarity with unit testing, continuous integration, DevOps, VMs, containerization
- Interactive data visualization and dashboards, e.g. with Shiny
- High-performance computing
_Contact_:
Qualified candidates should submit a resume to recruiter@arrowstreetcapital.com.
Please include a cover letter detailing your short and long-term career goals as well as any salary requirements, and copies of transcripts. No telephone calls please.