Point72
Data Scientist Intern
USA internshipsAI/ML/DataPosted 11 days ago
- Location
- NYC
- Type
- USA internships
Apply nowOpens Point72’s application page
Point72
From Point72’s careers page.
On our proprietary research team—Market Intelligence—you’ll support Analytics team members as they work 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.
Our data scientists conduct research through data mining and statistical modeling to discover insights from large, complex data sets that are used by our investment professionals to make investment decisions.
During the 10-week program based in our New York office, you will gain exposure to:
In addition to the learning and development you’ll receive in your day-to-day role with your team, as a part of our summer internship program you will:
Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit https://point72.com/.
The annual base salary range is $130,000–$175,000 (USD), which will be prorated based on internship start and end date; this does not include overtime compensation. Actual compensation offered to the successful candidate may vary from posted hiring based upon geographic location, work experience, education, and/or skill level, among other things.