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Programme
Internship
Location
London
Duration
10 weeks
About the role
A 10-week London internship combining quantitative research, technology, and trading. Interns identify signals, develop systematic strategies, analyse large datasets, and work on algorithmic trading projects with trading, research, and technology teams. The programme includes structured education, hands-on projects, and trading simulations, with successful interns considered for future graduate roles.
Responsibilities
- Identify trading signals and develop systematic trading strategies using quantitative research and mathematical modelling.
- Process and analyse large datasets to investigate patterns and support algorithmic trading decisions.
- Collaborate with trading, quantitative research, and technology teams on real-world trading problems.
- Participate in hands-on project work and various trading simulations.
Training and Development
- Attend classes covering options pricing, machine learning, data analysis techniques, game theory, and trading.
- Learn about proprietary dataspaces, modelling approaches, strategy implementation, and trading decision-making.
- Work collaboratively with employees and other interns interested in mathematics, problem-solving, game theory, and technology.
Candidate Profile
- Be a PhD or research master’s student in the penultimate year of a quantitative discipline.
- Have experience writing code to process and analyse large datasets.
- Demonstrate research-mindedness and an interest in building mathematical models to reveal data patterns.
- Communicate clearly, share ideas, listen to others, and build effective working relationships.
- Show ambition and commitment to achieving personal goals.
Location and Compensation
- The internship is based in Susquehanna’s London city-centre office.
- Interns receive a highly competitive compensation package.
- Office facilities include free onsite catering, a games room, and dedicated education space.