Machine Learning Researcher - PhD: 2027

OverviewSusquehanna 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.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.What you'll doResearch and develop deep learning models to generate and enhance systematic trading signals and strategies across asset classes.Collaborate closely with researchers, traders, and developers to improve alpha generation and identify new algorithmic trading strategies.Design and conduct rigorous experiments using modern machine learning frameworks to improve predictive signals and overall trading performance.Apply scientific methods to extract actionable signals from complex datasets, deepening the understanding of market behavior.Translate research insights into production-ready models that can be implemented, tested, and validated in live trading environments.Partner with engineering and trading teams to deploy, monitor, and iterate on models that drive trading decisions and execution outcomes.What we’re looking forPhD in computer science, machine learning, mathematics, physics, statistics, or a related fieldStrong track record of applying ML in academic or industry settings, with 5+ years of experience building impactful deep learning systemsA strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLRStrong programming skills in Python and/or C++Practical knowledge of ML libraries and frameworks, such as PyTorch or TensorFlow, especially in production environmentsHands-on experience applying deep learning on time series dataStrong foundation in mathematics, statistics, and algorithm designExcellent problem-solving skills with a creative, research-driven mindsetDemonstrated ability to work collaboratively in team-oriented environmentsA passion for solving complex problems and a drive to innovate in a fast-paced, competitive environmentWhat we offerCollaborate with a world-class team of researchers, engineers, and tradersGain access to best-in-class financial data and high-performance computing resourcesDirectly impact real-time trading performance through your workThrive in a collaborative, intellectually rigorous environment with a global footprintAbout SusquehannaSusquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.If you're a recruiting agency and want to partner with us, please reach out to View email address on click.appcast.io. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.#LI-CR1#LI-OnsiteJob SummaryExperience Level: New GraduatesJob Categories: Machine Learning