Quantitative Research Intern – PhD Hire – NY/Philadelphia area Susquehanna International Group, LLP in United States

Susquehanna International Group is inviting PhD students and postdocs to a two-day on-site Discovery Summit in its Quantitative Research area, offering a look into careers in quantitative finance and systematic trading. The program is centered on how advanced research connects to real-world markets. Participants will explore topics including options theory, financial data, and machine learning, and see how quantitative methods are used to uncover actionable insights in trading. The event also in...

Susquehanna International Group is hiring a quantitative systematic trader within its Quantitative Research team for the New York/Philadelphia area. The role sits close to live markets and focuses on building and refining fully automated trading strategies that combine quantitative research with trading intuition. The work spans signal generation, execution, market microstructure, portfolio construction, risk management, simulation, and large-scale data analysis. The position is designed for som...

Susquehanna International Group is hiring a Quantitative Researcher – PhD Hire – NY/Philadelphia area in its Quantitative Research department. The role sits within Susquehanna’s systematic trading environment, where researchers work on quantitative problems that inform decision-making in global financial markets. The position focuses on designing, validating, backtesting, and implementing statistical and advanced machine learning models. The research work spans statistical inference, optimizatio...

PhD position available at Princeton University in causality-aware path learning , with a strong emphasis on network science and machine learning . The position is within Prof. Dr. Jürgen Hackl’s Complex Infrastructure Systems Group in the Civil and Environmental Engineering environment. This is a research-oriented doctoral opening for candidates interested in computational methods, graph/network analysis, and data-driven learning approaches for infrastructure systems. Eligibility highlights: a M...

Yadi Cao, Assistant Professor of Computer Science at the University of Central Florida, is recruiting for a new research group focused on scientific machine learning , AI for Science , surrogate modeling, and scientific agents. The lab’s research directions include learning models that generalize across geometry, physics, and operating conditions with limited data, as well as agents that automate simulations, experiments, and scientific decision-making under real resource constraints. Openings i...