Why This Role Stands Out
Gain invaluable experience in proprietary research at Point72, where you'll leverage data science to uncover critical insights and contribute to investment strategies. This hybrid internship is perfect for driven MS/PhD candidates eager to develop advanced analytical skills within a collaborative and reputable firm. Apply now to jumpstart your career in quantitative finance and data science!
Quick Overview
Job Description
A Career with Point72’s Market Intelligence Team
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.
About the MS/PhD Data Scientist Internship
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:
- A highly collegial environment that emphasizes teaching and learning as a team
- Tackling challenges of featuring and modeling large and unstructured data using machine learning and statistical techniques
- Managing all aspects of the research and execution process including methodology selection, data collection and quality, modeling and analysis, and performance monitoring
- Working alongside Analytics team members who deliver research findings to investment teams, portfolio managers, and other internal clients
- Driving technical innovation through a collaborative R&D process
Summer Internship Program at Point72
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:
- Work alongside your fellow interns and be mentored by experienced professionals
- Meet your peers through designated intern programming, volunteer opportunities, and social events
- Attend sessions with senior leaders discussing their expertise and career paths
- Get hands on access to the wealth of tools and resources that Point72 employees use every day
- Gain exposure to groups and functions with unique responsibilities and perspectives on our industry
- Develop technical, writing, and presentation skills
- Participate in networking opportunities across the firm, with groups such as Trading, Finance, Trade Support, Compliance, and Technology
What’s Required
- Pursuit of master’s or PhD degree in a quantitative discipline
- Demonstrated interest in machine learning, statistical models, and data mining tools
- Strong programming skills in Python, R, Spark, and/or SQL
- Exceptional understanding of statistics and advanced modeling techniques
- Ability to communicate complex analyses and results clearly
- Commitment to the highest ethical standards
About Point72
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.
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