Quantitative Researcher – Master's: 2027

About the role

This graduate role at Susquehanna involves developing, validating, backtesting, and implementing statistical and machine learning models for global financial markets. Based in Bala Cynwyd, researchers analyze large datasets, generate alpha signals, improve strategy performance, and collaborate with systematic traders and technologists using extensive proprietary data and computing infrastructure.

Responsibilities

• Apply probability, statistics, optimization, and machine learning techniques to develop robust models and generate alpha signals.
• Analyze large datasets and conduct research into market behavior, trading strategies, and complex quantitative systems.
• Backtest research ideas using historical market data and large-scale computing clusters.
• Recommend improvements to existing strategies and optimize their production performance.
• Collaborate with systematic traders and technologists to refine ideas and move successful strategies into production.

Development and Environment

• Participate in a comprehensive education program designed to accelerate quantitative research and trading knowledge.
• Receive personalized mentorship from senior professionals throughout the role.
• Work in small, collaborative teams where ideas are evaluated through discussion, experimentation, and evidence.
• Use proprietary datasets and large-scale computing infrastructure, including a growing cluster of high-end GPUs.

Requirements

• Master’s degree graduating by Summer 2027 in a highly quantitative discipline, such as mathematics, statistics, or computer science.
• Strong foundation in probability, statistics, optimization, numerical methods, or quantitative modeling.
• Experience developing research code in Python and working with large datasets.
• Excellent problem-solving skills and interest in applying quantitative models to complex systems.
• Strong communication skills and willingness to collaborate with researchers, engineers, and traders.
• Demonstrated intellectual curiosity through coursework, projects, research, competitions, strategic games, or other analytical pursuits.

Additional Information

• Experience with C++, scientific computing, or high-performance computing is a plus.
• Visa sponsorship is available for this position.
• Applicants are automatically considered for the Quantitative Systematic Trader position without submitting a separate application.