Quant Developer, Research

The Research Team

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 quant developers to join our research team. 



  • Writing and maintaining Python code that supports the investment research production processes
  • Proposing, designing, and creating software to enhance our data science technology stack
  • Implementing performance improvements in our data analysis and numerical programming code
  • Staying up to date on the PyData ecosystem and evaluating new libraries and tools
  • Working with other developers to design feeds for new data sources from third-party vendors
  • Performing ad-hoc exploratory statistical analysis across multiple large complex data sets from a variety of structured and unstructured sources



The ideal candidate will have:

  • 3+ years of experience implementing production-grade Python code for a data analytic business, preferably in investment management
  • Expert programming skills in Python with pandas and numpy
  • Expertise in OOP paradigms, data structures, and numerical algorithms
  • 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
  • Strong analytical, quantitative, and problem solving skills
  • Understanding of probability and statistics, including linear regression and time-series analysis
  • 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:

  • High-performance computing
  • Distributed computing
  • Hadoop, Spark, Kafka, and related technologies
  • SQL
  • Unix/Linux system tools and environment
  • Basic familiarity with unit testing, continuous integration, DevOps, containerization
  • Interactive data visualization and dashboards

Qualified candidates should submit a resume to No telephone calls please.