Quantitative Researcher (Machine Learning)

Job Description

Geneva Trading is seeking a Quantitative Researcher to join their global quantitative trading team. The candidate will research, develop, and deploy automated intraday and mid-frequency trading strategies using machine learning models and advanced quantitative methods. This role requires strong coding abilities and the application of CI/CD, DevOps, and MLOps principles.

• Designing and executing research experiments to develop innovative models and strategies.
• Developing production-ready code for live trading integration.
• Enhancing research and trading infrastructure through machine learning methods.
• Monitoring live trading strategies for performance issues.
• Integrating external libraries into production code.
• Optimizing model training and backtesting using parallel, distributed, and cloud computing.
• Exploring opportunities for strategy expansion across global futures products.
• Staying current with industry advancements through research, competitions, and online communities.

• Master’s or PhD in a STEM field (e.g., Machine Learning, Computer Science, Physics).
• 3+ years of applied machine learning experience in a commercial or academic setting, or 3+ years in quantitative research or development in trading.
• Strong understanding of multivariate statistics, time-series analysis, machine learning, and optimization.
• Strong programming skills in Python, including libraries like NumPy, Pandas, and Scikit-learn.
• Familiarity with Q/KDB and Git.
• Strong mathematical ability in linear algebra and calculus.