Research Infrastructure Engineer

Posted 13 Hours Ago
Be an Early Applicant
New York, NY
Financial Services
The Role
Maintain, develop, and re-imagine extensive internal research stack that continues to be a differentiating factor for PDT business, including container, distributed algorithm, grid-abstraction, and calculation frameworks. Partner with the research team to understand future research directions and build next-generation technologies.
Summary Generated by Built In

Research Infrastructure 

We’re looking for a uniquely talented software engineer 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.  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.  

Research at PDT requires significant compute capacity, and as such, we are looking for a talented engineer that understand the importance of how a well-built infrastructure supports complex scientific research. 

Expectations: 

  • Maintain, develop, and re-imagine extensive internal research stack that continues to be a differentiating factor for PDT business, including container, distributed algorithm, grid-abstraction, and calculation frameworks used by researcher and production teams. 
  • Allow the scale, algorithmic complexity, and performance of our HPC grid to be accessible to a diverse set of research users and use cases. 
  • Partner with our research team to understand future research directions, and build the next generation of technologies for alpha, signal, and portfolio construction. 
  • Competence with linear algebra, calculus, numerical analysis, and wide range of model estimation techniques a big plus. 

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.

  • Exceptional programming skills 
  • Passion for infrastructure development 
  • Masters (or equivalent experience) in computer science, statistics, mathematics, or a related field 

Preferred Qualifications: 

  • Experience with Machine Learning systems
  • Experience with C++ 
  • Experience with the Python scientific stack 

Top Skills

C++
Python
The Company
HQ: New York, NY
196 Employees
On-site Workplace

What We Do

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.

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