New York, New York, United States

Share with: Facebook LinkedIn Twitter Send to a friend

Identify, ingest, and enrich a wide range of structured and unstructured big data into datasets for analysis.  Operate and extend data infrastructure platform to deliver production-grade data curation and analysis services.  Maintain data integrity by amplifying data quality and completeness with a process-driven approach and measurement dashboards.  Own end-to-end data workflows and develop deep domain expertise on the underlying actors and behaviors manifested through data.  Communicate data-driven analysis and insights in the form of “data studies” that enable our investment management research process.

Minimum Requirements:  Bachelor’s Degree in Computer Science, Mathematics, Statistics, Financial Engineering, Operations Research and Engineering, Applied Science and Urban Informatics or related quantitative/data focused Degree plus 1 year of experience as a Quantitative Data Analyst.

Must have experience using the following quantitative skills and software technologies: 

  • Hands-on data analysis with large scale datasets and unstructured data; 
  • Relational and big data concepts and management of large datasets; 
  • Probability theory and statistics; 
  • Python programming (both structured and Object Oriented); 
  • Python data analysis packages (including Numpy, Pandas, and Scipy); 
  • SQL and relational databases; 
  • Data visualization tools and packages (including matplotlib, plotly, and Tableau); and
  • Ability to work with real world data (non-financial data) to produce meaningful insights that could aid investment process and knowledge of Regex.  

Must also pass company’s “Data Challenge” skills assessment.

Interested in working at Two Sigma? Explore careers.