Machine Learning Researcher

Overview

We are looking for Machine Learning Researchers to join Susquehanna’s growing ML group. This team will apply machine learning techniques to forecasting opportunities including time series applications, natural language understanding and more. The team will be responsible for spearheading the application of deep learning to our daily trading activity. 

In this role you will collaborate with other researchers, developers, and traders to improve existing strategies and conduct research and development applying new algorithms designed for scalable deployment. You will use your software development and Machine learning skills to find signal in one of the highest quality data sets in the industry, and develop automation tools to enhance our research and system development. 

This work will be challenging, fast-paced, and competitive. Your interest and drive to apply cutting-edge machine learning techniques to large financial data sets will enable this team to expand quantitative research at Susquehanna. 

What to Expect:

• Similar to a research environment, you will write code, use the latest machine learning tools, run experiments, and generally develop techniques and processes to improve our understanding of how data influences the trading environment
• Invent new techniques when necessary to deal with the specific problems
• Collaborate with teams of researchers and traders in our offices around the world to design and train ML models
• Use a rigorous scientific method to develop sophisticated trading models and shape our insights into how the markets will behave
• Create and test complex trading ideas and partner with our engineers to test your hypotheses

What we’re looking for

• Ph.D. or graduate degree in Computer Science, Statistics, Machine Learning, Physics, Applied Mathematics or related field 
• Professional experience in building and applying machine learning techniques 
• Strong programming skills in Python and/or  C++   
• Experience working and analyzing time series and reference data  
• Demonstrated experience working with and drawing conclusions from large datasets 
• Experience using Pytorch and/or Tensorflow in a production environment

We don’t post salary ranges externally so any salary estimate you see listed here was not provided by Susquehanna and may not be accurate.Susquehanna is not accepting unsolicited resumes from search firms. All resumes submitted by search firms to any employee at Susquehanna via-email, the Internet or directly without a valid written search agreement will be deemed the sole property of Susquehanna, and no fee will be paid in the event the candidate is hired by Susquehanna.