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Programme
Internship
Location
Shanghai
Duration
8 weeks
About the role
An eight-week Shanghai internship focused on investigating trading-execution performance across market data, low-latency systems, networks, brokers, and exchanges. You will use quantitative analysis, experiments, prototypes, and visualizations to identify improvements, supported by lectures, coursework, mentorship, and hands-on projects. Strong performers may receive a graduate return offer.
Responsibilities
- Investigate execution-performance issues across market data, trading systems, networks, brokers, and exchanges.
- Analyze market, order, system, and network data to reconstruct event flows and identify performance patterns.
- Develop hypotheses and conduct statistical experiments or black-box analysis of complex system behavior.
- Build analyses, prototypes, metrics, and visualizations to test ideas and quantify results.
- Collaborate with traders, researchers, and engineers to evaluate and implement improvements.
Program and Benefits
- Complete an eight-week internship combining trading lectures, coursework, mentorship, and hands-on project experience.
- Receive training and personal development opportunities in a collaborative, high-performing environment.
- Potentially receive an offer to return as a Graduate Performance Researcher after successful performance.
- Receive a competitive remuneration package, with flights and accommodation covered for the internship.
- Access gym membership, daily breakfast and lunch, an in-house barista, and regular social events.
Requirements
- Be a university student graduating in 2028 or later, after September 2027.
- Pursue or recently complete a technical degree, such as computer science or engineering.
- Have strong foundations in computer systems and quantitative reasoning, including operating systems or networking.
- Demonstrate proficiency in Python and data analysis.
- Show technical depth through research, systems or networking projects, internships, or substantial personal projects.
- Be curious, analytical, detail-oriented, and capable of solving problems and learning quickly.
Application
- Submit a resume in English through the online application form.
- An English cover letter may be submitted optionally.
- Only one application per role per year is accepted.
- Applicants unsuccessful this season may reapply when the next recruitment season begins in 2027.