Quantitative Trader - Graduate: 2027

Overview

Susquehanna's quantitative trading programme is our full‑time graduate programme that marks the start of an exciting and fast‑paced career in one of the world's leading quantitative trading firms. The programme is designed for intellectually curious individuals with a capacity to problem‑solve in a collaborative and dynamic environment. Complementing classroom‑based education, graduate quantitative traders are embedded on a trading desk, gaining exposure to strategies and managing risk within the first few months. Run by a team of senior traders, the education is widely recognised as the best in the industry. Topics include ETF and options trading, game theory, and programming. No finance background required; we provide the necessary training.

What We're Looking For

• Problem solver: enjoys solving puzzles and discovering solutions to complex problems.
• Clear communicator: builds relationships with collaborators, shares ideas, and listens to others.
• Ambitious: sets personal goals and works hard to achieve them, whether in arts, sports, academics, or other passions.
• Soon‑to‑be or recently graduated student eligible to join in June 2027.

What’s In It For You

• Education: industry‑leading programme covering finance, options, mock trading, game theory, and more, complemented by hands‑on projects and trading simulations.
• Collaboration: work with a diverse group passionate about mathematics, problem‑solving, game theory, and technology.
• Decision‑making: weekly poker classes, strategy board games, and proprietary trading games to optimise outcomes and anticipate moves.
• Culture: non‑hierarchical, casual, collaborative environment that supports employees of all levels.
• Perks: highly competitive compensation, office in London’s city centre with free onsite catering, games room and dedicated education space.

About Susquehanna

Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in a systematic trading environment. We apply machine learning and advanced quantitative research to vast datasets to uncover actionable insights and build effective strategies, uniting deep market expertise with cutting‑edge technology.

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