Point72 -posted 4 months ago
$130,000 - $155,000/Yr
Intern
New York, NY
1,001-5,000 employees

On our proprietary research team—Market Intelligence—you’ll partner with our Investment Professionals and Compliance to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques to alternative data sets. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our industry researchers, product managers, and data scientists and engineers work together to build compliant research products that answer the questions our investment professionals care about most. We look for other bright, motivated, and collaborative people to join our team and grow with us—a majority of the leaders in our group were promoted from within.

  • Design and build solutions that enable investment professionals to extract insights from large, complex, compliance-approved structured and unstructured data sets.
  • Work closely with investment professionals, researchers, and data scientists to assist in the design, build, and launch robust end-to-end data pipelines and tools.
  • Assist in the development and support of big data processing pipelines including ingestion, transformation, and end-customer delivery.
  • Participate in the build out of cloud-based infrastructure using distributed techniques for other data engineers/data scientists/researchers.
  • Conduct proof-of-concept evaluations of new technologies related to big data handling and processing.
  • Partner with internal teams to build and support visualization and exploration capabilities around big data sets.
  • Pursuit of a bachelor’s or MS degree in CS, Engineering, or other quantitative discipline.
  • Experience or demonstrated interest in big data technologies.
  • Solid understanding of computer science fundamentals (data structures, algorithms, etc.).
  • Strong experience in Python development.
  • Interest in working with data and big data problems and technologies, such as Spark and Scala.
  • Ability to devise novel and innovative solutions to challenges.
  • Knowledge of/experience with graph databases is a plus.
  • Commitment to the highest ethical standards.
  • Mentorship by experienced professionals.
  • Networking opportunities with peers through intern programming and social events.
  • Access to sessions with senior leaders discussing their expertise and career paths.
  • Hands-on access to best-in-class tools and resources.
  • Exposure to groups and functions with unique responsibilities and perspectives on the industry.
  • Development of technical, writing, and presentation skills.
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