Data Research Fellowship

A Career with Point72's Market Intelligence Team

On our proprietary research team—Market Intelligence—you’ll partner with our investment professionals and Compliance team to work with alternative data to uncover insights about companies, industries, and the broader economy through deep fundamental research and applying data science and engineering techniques. You’ll work alongside a talented team with diverse skills, backgrounds, and perspectives. Our sector data analysts, data scientists, data managers, and engineers work together to build compliant research products that are incorporated into the research process of our investment professionals. 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.

What you'll do

This 6-month intensive fellowship offers hands-on experience in data-driven research, business analysis, cross-functional collaboration, and the discretionary investment process within a fast-paced, compliance-focused environment. Data Research Fellows will be considered for permanent placement on the team following completion of the program.

During the 6-month program based in our New York office, you will:

Analyze alternative data from multiple sources to identify trends, themes, and business insights across companies and industries

Develop sector expertise by studying key performance indicators, competitive dynamics, and operating drivers within an assigned coverage area

Produce research for internal investment professionals through written analysis, verbal updates, and clear data visualization

Partner with data analysts, data scientists, and engineers to transform datasets into research products that support investment decision-making

Interact with investment professionals to learn the discretionary investment process and contribute to informed research discussions

Collaborate with Data Sourcing, Data Science, Data Engineering, and Compliance to ensure research is rigorous, useful, and compliant

Translate complex analytical findings into practical insights for technical and nontechnical partners

Apply alternative data within a broader fundamental research process while building skills for potential permanent placement

What's required

Undergraduate degree conferred in 2025 or 2026

Strong analytical skills and demonstrated academic success

Basic proficiency with coding or programming, including exposure to SQL or Python

Comfort analyzing data and explaining concepts clearly to technical and nontechnical audiences

Excellent written and verbal communication skills

Strong organizational skills and ability to manage a demanding workload

Understanding of how companies, industries, or sectors operate, with a strong interest in continued learning

Intellectual curiosity, creative thinking, maturity, and a strong work ethic

Ability to collaborate productively and build relationships across teams

Commitment to the highest ethical standards

We take care of our people

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:

Fully-paid health care benefits

Generous parental and family leave policies

Volunteer opportunities

Support for employee-led affinity groups representing women, people of color and the LGBT+ community

Mental and physical wellness programs

Tuition assistance

A 401(k) savings program with an employer match and more

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 is $112,500 USD, which will be prorated based on program start and end date. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.