Machine Learning Researcher - PhD: 2027

About the role

Susquehanna seeks a Machine Learning Researcher pursuing a 2027 PhD to develop deep learning models for systematic trading. The role combines research, experimentation, and production deployment across forecasting challenges such as time series analysis and natural language understanding, collaborating with researchers, traders, and engineers in Bala Cynwyd, Pennsylvania.

Responsibilities

• Develop deep learning models that generate and enhance systematic trading signals across asset classes.
• Collaborate with researchers, traders, and developers to improve alpha generation and identify algorithmic trading strategies.
• Design rigorous experiments using modern machine learning frameworks to improve predictive signals and trading performance.
• Extract actionable signals from complex datasets using scientific methods to understand market behavior.
• Translate research insights into production-ready models for testing and validation in live trading environments.
• Deploy, monitor, and iterate on models supporting trading decisions and execution outcomes.

Work Environment

• Work with researchers, engineers, and traders in a collaborative, intellectually rigorous environment.
• Access financial datasets and high-performance computing resources for machine learning research.
• Directly influence real-time trading performance through research and deployed models.