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Quantitative Researcher

Quantitative Researcher
New York, US
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Job Description

Quantitative Research at IEX is responsible for analyzing data to solve challenging problems. We generate ideas, investigate data, and test hypotheses about trading dynamics and market structure. We apply those insights to the design and development of new products and tools, and we educate our customers and the wider public via white papers, blog posts, client meetings, and conference presentations.

In the Quantitative Researcher role, you'll collaborate closely within a cross-functional team in developing novel approaches to solve problems using real-world data. You're not afraid to dive deep into data to find the truth. You are creative and curious, and you believe in a rigorous empirical approach to solving problems. You have strong communication skills and you pay attention to the details.

About you:

  • Self-starter
  • Excellent analytical and problem-solving skills
  • Ability to work independently and with little direction
  • Organized and detail-oriented
  • Collaborative team player
  • Exceptional written and verbal communication skills
  • Committed to building fairer and more transparent markets

What you'll do:

  • Generate ideas, investigate data, and test hypotheses in the process of scientific inquiry
  • Conduct exploratory research to uncover new insights on trading dynamics
  • Analyze and study market-wide trends in execution quality
  • Collaborate across the organization to design and develop new products and tools
  • Communicate research insights externally, e.g. via customer meetings, white papers, and presentations

Your background:

  • Graduate degree in Computer Science, Engineering, Statistics, or other quantitative field (PhD highly preferred)
  • Research background with experience defining problems, designing metrics, and developing data-driven solutions
  • Familiarity with programming languages and tools for data analysis (e.g., Python, Matlab, R, SQL)
  • Experience working with large data sets + time series data is a plus
  • Familiarity with financial markets and regulation is helpful
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