INTERNSHIP DETAILS

Summer 2027 Quantitative Research Intern

CompanyPDT Partners
LocationNew York
Work ModeOn Site
PostedOctober 7, 2026
Internship Information
Core Responsibilities
Interns will work closely with senior researchers to develop and optimize trading strategies and models. They will engage with large-scale datasets and conduct research spanning statistical modeling and new signal research.
Internship Type
full time
Company Size
247
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
PDT, which stands for Process Driven Trading, was founded by Peter Muller in 1993 as a proprietary trading group within Morgan Stanley. In 2013, after establishing a 19-year track record finding inefficiencies in financial markets, the group spun out of Morgan Stanley to become an independent investment management firm, PDT Partners. Today we are a leader in the field of quantitative finance, known for our rigorous scientific, systematic, and model-driven approach to investing, with multiple billions in assets under management. Peter Muller, Founder and CEO, and a small group of managing partners lead around 200 scientists, engineers, and professionals in New York and London.
About the Role

 

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. 

PRIVACY STATEMENT: For information on ways PDT may collect, use, and process your personal information, please see PDT’s privacy notices.

 

Key Skills
Mathematical modelingAnalytical skillsProblem-solvingPythonRMatlabC++Statistical modelingData analysisCommunicationCollaborationResearchTrading strategiesOptimizationTechnology
Categories
Finance & AccountingScience & ResearchData & AnalyticsTechnologyEngineering