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Engineering, Full Time    New York City    Posted: Wednesday, November 21, 2018
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We are looking for a Data Scientist to join our Business Analytics team to develop, produce, & interpret venue & broker analytics to create content for internal & external stakeholders (clients, investors, management, executives). Experience working with large datasets is required to build tools & reports to serve business needs. Excellent communication skills are needed, as youll be partnering closely with our Quant, Data Engineering, Core Dev, Listings, & Sales teams. If youre excited to join a high growth fintech firm changing Wall Street for the better, please apply!

About you:

  • Expert critical thinking, problem solving & analytical skills
  • Self-starter you can prioritize tasks & deliver on-time
  • Excellent written & verbal communication skills you can break down highly technical concepts into laymans terms

What youll do:

  • Work with the Business Analytics, Quantitative Research, Listings & Sales team to analyze market activity on IEX
  • Contribute to creating content to help inform decisions & effectively communicate IEXs value proposition
  • Provide insights & input into the business development of the product suite including order types, order book & routing functionality
  • Collaborate with various teams (Quant, Data Engineering, Core Dev, Listings) across the organization to build tools & reports to serve business needs

Your Background:

  • Strong programming knowledge & experience working with large data sets (~hundreds of millions of records) (e.g., Python/numpy/pandas, MATLAB, R/ggplot2); kdb experience a nice-to-have but not required
  • Bachelors degree (or more) in Computer Science, Mathematics, or Engineering
  • Trading exposure a plus (i.e., we are open to traders looking to migrate to the dev side)
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