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Programme
Graduate
Location
London
About the role
Graduate quantitative systematic traders combine trading, technology, and quantitative research to identify signals, develop strategies, and solve algorithmic trading problems. The programme includes structured education, hands-on projects, and trading simulations, with collaboration across trading, quantitative research, and technology teams. Candidates join in June 2027.
Responsibilities
- Identify trading signals and develop systematic trading strategies.
- Build mathematical models to uncover patterns in large datasets.
- Write code to process and analyse large datasets.
- Collaborate with trading, quantitative research, and technology teams.
- Apply modelling approaches and implement strategies in algorithmic trading environments.
Training and Development
- Complete education covering options pricing, machine learning, data analysis, and game theory.
- Participate in trader talks, in-house trading games, project work, and trading simulations.
- Learn about proprietary dataspaces and novel modelling approaches.
- Develop understanding of trading decision-making through practical simulations.
Requirements
- Conduct research in a quantitative discipline as a soon-to-be master’s or PhD graduate, or post-doctoral researcher.
- Be available to join the programme in June 2027.
- Have experience writing code to process and analyse large datasets.
- Demonstrate research-mindedness and interest in mathematical modelling.
- Communicate clearly, share ideas, build relationships, and listen to others.
- Show ambition through sustained effort toward personal goals.
Working Environment
- Work collaboratively with people interested in mathematics, problem-solving, game theory, and technology.
- Benefit from a non-hierarchical, casual, and collaborative culture.
- Work in Susquehanna’s London city-centre office.
- Access onsite catering, a games room, and dedicated education space.