Point72 -posted 3 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 team 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.

  • Work closely with investment professionals, researchers, and data scientists to design, build, and launch robust end-to-end data pipelines and tools that help extract the most value out of P72’s data assets
  • Develop and support big data processing pipelines including but not limited to ingestion, transformation, and end-customer delivery
  • Build out cloud-based infrastructure using distributed techniques for other data engineers/data scientists/researchers
  • Be at the forefront of new technology developments with respect to the handling and processing of big data and conduct proof-of-concept evaluations of new technologies
  • Build and support visualization and exploration capabilities around our big data sets
  • Commitment of 40 hours weekly from January-April 2025 onsite at our office in New York, NY
  • Recent graduation from or current enrollment in a Bachelor’s or Master’s degree program
  • 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
  • Fully-paid health care benefits
  • Generous parental and family leave policies
  • Mental and physical wellness programs
  • Volunteer opportunities
  • Non-profit matching gift program
  • Support for employee-led affinity groups representing women, minorities and the LGBTQ+ community
  • Tuition assistance
  • A 401(k) savings program with an employer match and more
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