Susquehanna International Group, LLP

Machine Learning Quantitative Researcher – DDT – Experienced Hire

Job Locations IE-Dublin
Requisition ID
2025-9557
Experience Level
Experienced Professionals
Job Categories
Machine Learning

Overview

Susquehanna is expanding the Machine Learning group and seeking exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis, natural language understanding, and more. Your work will directly influence our trading strategies and decision-making processes.

This is a unique opportunity to work at the intersection of cutting-edge research and real-world impact, leveraging one of the highest-quality financial datasets in the industry. 

 

What You’ll Do

  • Conduct research and develop ML models to enhance trading strategies, with a focus on deep learning and scalable deployment
  • Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches
  • Design and run experiments using the latest ML tools and frameworks
  • Develop automation tools to streamline research and system development
  • Apply rigorous scientific methods to extract signals from complex datasets and shape our understanding of market behaviour
  • Partner with engineering teams to implement and test models in production environments

What we’re looking for

  • Post-graduate degree in machine learning or a related discipline with publications at top tier conferences, or professional experience proposing novel machine learning algorithms.
  • 4+ years experience in building and applying machine learning techniques.
  • Demonstrated experience working with and drawing conclusions from large datasets.
  • Proficient programming skills in Python and/or C++.
  • Practical knowledge of ML libraries and frameworks, such as PyTorch or TensorFlow, especially in production environments
  • Hands-on experience applying deep learning on time series data
  • Strong foundation in mathematics, statistics, and algorithm design
  • Excellent problem-solving skills with a creative, research-driven mindset
  • Demonstrated ability to work collaboratively in team-oriented environments
  • A passion for solving complex problems and a drive to innovate in a fast-paced, competitive environment

 

If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.

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