S
Programme
Graduate
Location
New York City, NY
About the role
Susquehanna seeks a Machine Learning Researcher in New York to develop deep-learning models for forecasting and systematic trading. The role combines research, experimentation, and production deployment across complex datasets, including time series. Researchers collaborate with traders, engineers, and other researchers to improve signals, strategies, and real-time trading decisions.
Responsibilities
- Research and develop deep-learning models generating systematic trading signals and strategies 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 and deepen understanding of market behavior.
- Translate research insights into production-ready models for live trading implementation, testing, and validation.
- Partner with engineering and trading teams to deploy, monitor, and iterate on trading models.
Working Environment
- Collaborate with researchers, engineers, and traders in a scientifically rigorous, intellectually collaborative environment.
- Access high-quality financial data and high-performance computing resources.
- Directly influence real-time trading performance through machine-learning research and model development.
- Work within Susquehanna’s global quantitative trading and systematic trading environment.
Additional Information
- The position is based in New York City, New York.
- Visa sponsorship is available for this position.