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Programme
Graduate
Location
Bala Cynwyd, PA
About the role
Quantitative Systematic Traders build and refine fully automated strategies for global markets, combining quantitative research with trading intuition. The role covers signal generation, execution, market microstructure, portfolio construction, risk management, simulation, and live performance monitoring. Candidates need a quantitative PhD or postdoctoral experience, research programming skills, and strong interest in trading.
Responsibilities
- Apply probability, statistics, and machine learning to analyse market behaviour and develop quantitative models.
- Build, optimise, and refine automated trading strategies using signals, market insights, and trading intuition.
- Monitor live strategy performance, manage deployment, adjust parameters, and respond to trading anomalies.
- Improve alpha monetisation, execution efficiency, and profitability through experimentation and performance feedback.
- Collaborate with researchers and technologists to develop components of the execution engine.
Training and Environment
- Complete a comprehensive education programme with personalised mentorship from senior professionals.
- Work in small, collaborative teams using proprietary datasets and large-scale computing infrastructure.
- Conduct computationally intensive research, large-scale simulations, and rapid experimentation using extensive computing resources.
- Participate in open, evidence-based discussions with traders, researchers, and engineers.
Requirements
- PhD graduating by Summer 2027, or postdoctoral experience, in a highly quantitative discipline.
- Strong foundation in probability, statistics, optimisation, numerical methods, or quantitative modelling.
- Experience developing research code in Python and working with large datasets.
- Excellent problem-solving and communication skills, with interest in quantitative models informing trading decisions.
- Interest in trading, market microstructure, market intuition, creativity, evidence-based thinking, and continuous learning.
- Intellectual curiosity and competitive drive demonstrated through research, competitions, strategic games, or analytical pursuits.
Additional Information
- Experience with C++, scientific computing, or high-performance computing is advantageous.
- Visa sponsorship is available for this position.
- Applicants are automatically considered for the Quantitative Researcher position; submitting a separate application is unnecessary.