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Susquehanna International Group Logo Susquehanna International Group · IT - Software Development

Faculty Fellow

United States, Bala Cynwyd (Philadelphia Area), Pennsylvania · Job Posted February 03, 2026
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Job Description

At Susquehanna, we approach quantitative finance with a deep commitment to scientific rigor and innovation. Our research leverages vast and diverse datasets, applying cutting-edge machine learning at scale to uncover actionable insights—driving data-informed decisions from predictive modeling to strategic execution. We are launching a 12–18 month fully funded faculty fellowship. This is a unique opportunity to pursue advanced machine learning research in a fast-paced, real-world environment—collaborating with teams at the frontier of quantitative trading.

Job Responsibility

  • Conduct applied machine learning research using large-scale, real-world financial datasets
  • Develop novel modeling techniques and adapt state-of-the-art algorithms to unique challenges in quantitative finance
  • Collaborate with researchers and engineers to translate theoretical insights into production-scale systems
  • Contribute to the design of robust, high-performance ML infrastructure
  • Explore research directions aligned with your interests, with flexibility in scope and duration
  • Evaluate ideas in an industrial setting, generating insights that may inform future academic or applied work
  • Help grow our research community by fostering collaboration and leveraging your network within the ML and academic ecosystems

Requirements

  • Exceptional faculty (tenured or tenure-track) with expertise in machine learning, deep learning, LLM, statistics, computer science, physics, applied mathematics, or related fields
  • Exceptional newly minted PhDs or postdocs developing a research agenda in machine learning, deep learning, LLM, statistics, computer science, physics, applied mathematics, or related fields
  • A strong theoretical foundation in ML and a passion for solving practical, open-ended problems
  • Strong programming skills (Python preferred)
  • experience with ML frameworks like PyTorch, TensorFlow or Jax
  • Intellectual curiosity, adaptability, and a collaborative mindset
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