We’re looking for a select few uniquely excellent software engineers to join our world-class team. PDTers are creative, energetic, friendly, entrepreneurial, and collaborative. If you could walk around our office, you’d see that we’re a focused, intent, and nimble company with none of the attitude and bureaucracy of a stereotypical Wall Street trading firm. Our engineers love to work on challenging and complicated problems, and in return, they have a chance to make a direct impact on our bottom line. For the right talent, there is fantastic growth potential. 

 

At PDT, we recognize that certain research directions require both engineering and analytical know-how to execute.  As such, we are looking for a select few individuals that have experience in both software engineering as well as experience in statistical modeling, mathematics, or a related field.

 

Expectations:

  • Collaborate with senior researchers and technologists to investigate novel research ideas, evaluate them with large-scale experiments on a HPC grid, and develop scientific libraries to share these findings and processes.
  • Over time independently originate, test, develop, and own research projects and processes.
  • Contribute to both our technology stack and research models across the continuous full research-to-technology stack.
  • Create and refine scientific library code while managing both deployment and adoption of research enabling technologies.

Why join us?  PDT Partners has a 25+ 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.  PDT’s very high employee-retention rate speaks for itself.  Our people are intellectually extraordinary and our community is close-knit, down-to-earth, and diverse.

Requirements: 

  • Exceptional programming skills
  • Ability to generate and execute on research ideas
  • Knowledge of trading and finance isn’t required
  • Masters (or equivalent experience) in computer science, statistics, mathematics, or a related field

Preferred Qualifications:

  • PhD (or equivalent experience)
  • Strong publication record
  • Experience with C++
  • Experience with the Python scientific stack

 

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