Strong fit for early-career academics with a technical focus who collaborate on complex modeling and data analysis projects in New York.
Derived from job-description analysis by Serendipath's career intelligence engine.
Original posting from PDT Partners via Greenhouse
Eligibility: Current PhD or Postdoc in Math, Science, Engineering and other relevant disciplines who are eligible for full-time roles starting in 2027 - 2029.
Program Length: 10 Weeks (Early June – Mid August)
PDT Partners, a quantitative investment manager, is hiring exceptional academics, PhD students and Postdoctoral researchers for our Quantitative Research internship program.
At PDT, research is rigorous, methodical, and deeply collegial. Research is cumulative by nature; whether an inquiry yields a breakthrough or simply opens new lines of questioning, we learn, iterate, and move forward together.
Research Interns will work closely with senior researchers on our trading strategies and models. Projects are substantive and varied, spanning statistical modeling, new signal research, and the development and optimization of trading strategies. Interns will engage with large-scale datasets and state-of-the-art technology, supported by significant computational resources. Beyond the research itself, you will become part of PDT's broader academic culture through intern and company-wide events that nurture collaboration, curiosity, and community.
Why join us?
PDT Partners has a 30+ year track record and a reputation for excellence. Our goal is to be the best quantitative investment manager in the world measured by the quality of our products, not their size. Our people come from diverse disciplines, are intellectually extraordinary and our community is close-knit, down-to-earth and collaborative.
Below is a list of skills and experiences we think are relevant. Even if you don’t think you’re a perfect match, we still encourage you to apply because we are committed to developing our people.
Strong mathematical and analytical foundation with strong exceptional problem-solving and modeling ability
Technically strong, with programming experience in (Python, R, Matlab, C++) and a genuine interest and experience in working with technology and large data sets
Exceptional communicator, comfortable presenting complex ideas and collaborating in whiteboard-style settings
Meticulous and detail-oriented, and innately driven to understand issues deeply
Self-motivated and highly productive, with a strong sense of ownership and urgency
Enjoy solving complex, difficult, real-world problems
Entrepreneurial and creative
Finance knowledge is not required or expected
The salary for this role is $200,000. This amount is not inclusive of any potential bonus amounts.
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