Machine Learning Researcher

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Susquehanna International Group
Bala-Cynwyd, PA, United States
  • IT
  • FullTime

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 behavior
  • Partner with engineering teams to implement and test models in production environments

What we’re looking for

We’re looking for research scientists with a proven track record of applying deep learning to solve complex, high-impact problems. The ideal candidate will have a strong grasp of diverse machine learning techniques and a passion for experimenting with model architectures, feature engineering, and hyperparameter tuning to produce resilient and high-performing models.

  • PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field

  • Strong track record of applying ML in academic or industry settings, with 5 years of experience building impactful deep learning systems

  • A strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR

  • Strong 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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