Research Engineer

Posted Yesterday
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

The Research Engineering team is dedicated to accelerating the velocity of machine learning research and expanding the exploration space for innovations at PDT. We partner with PDT’s quantitative researchers to design and build a state-of-the-art environment for testing ideas rapidly and efficiently 

Research at PDT requires significant compute, and as such, we are looking for a talented engineer with in-depth knowledge of ML techniques and DL ecosystem to help us build the infrastructure capable of supporting complex scientific research at scale. 

Why join us?  
PDT Partners has a stellar 30+ year track record and a reputation for excellenceOur goal is to be the best quantitative investment manager in the worldPDT’s exceptional employee-retention rate speaks for itselfOur people are intellectually curious, collaborative, down-to-earth, and diverse. 

Responsibilities: 

  • Partner with the research team to understand future research directions and build the next generation of highly scalable infrastructure for alpha, signal, and portfolio construction. 
  • Incorporate advancements in machine learning, hardware accelerators and high-performance computing to optimize research workflows. 
  • Maintain, develop, and re-imagine the extensive internal research stack that continues to be a differentiating factor for PDT business.  
  • Optimize models for inference and use in real time trading systems. 

 Below is a list of skills and experiences we think are relevant: 

  • Experience with building infrastructure for training/fine-tuning large ML models. 
  • Intellectual curiosity and a strong interest in solving difficult problems. 
  • Exceptional programming skills and proficiency in identifying performance bottlenecks. 
  • Experience with the python scientific stack and DL libraries (PyTorch, Tensorflow, etc.) 
  • Experience with hardware accelerators. 
  • Previous experience in Quant Finance is not required. 

We encourage you to apply even if you don’t think you’re a perfect match. 


The salary range for this role is between $190,000 and $250,000. This range is not inclusive of any potential bonus amounts.  Factors that may impact the agreed upon salary within the range for a particular candidate include years of experience, level of education obtained, skill set, and other external factors.

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


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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