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Proprietary TradingPosted a month ago
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**2027 Shanghai Performance Researcher Summer Internship** Spend your summer solving complex, data-driven problems as our Performance Researcher Intern. You'll investigate trading performance, analyze market and system data, develop hypotheses, and work cross-functionally to implement improvements. - **Responsibilities:** Investigate trading performance issues, analyze data, develop hypotheses, build analyses, collaborate with traders and researchers. - **Required Skills:** Strong foundations in computer systems, quantitative reasoning, data analysis skills (proficiency in Python), experience with Linux preferred. - **Experience:** Internship level, university student graduating in 2028 or after September 2027. - **Domain:** Trading, with a focus on quantitative trading and low-latency systems. - **Technologies:** Python, Linux, C++, large-scale data tools, market and order data analysis.
- Compensation
- Not specified
- City
- Shanghai
- Country
- China
Currency: Not specified
Full Job Description
2027 Shanghai Performance Researcher Summer Internship
Level
Internship
Location
Shanghai
Department
Trading
As our Performance Researcher Intern, youll spend your summer delving into complex, data-driven problems at one of the worlds leading tech-driven trading firms. Under the guidance and mentorship of industry experts, youll apply your critical mindset and strong technical skills to drive measurable improvements to trading execution.
Through a mix of trading lectures, coursework and hands-on project experience, youll have deepened your understanding of the quantitative trading industry and mastered the practical skills needed to drive our trading success by the end of the 8-week internship. Plus, if youve excelled over the summer, youll receive an offer to return as a Graduate Performance Researcher.
What youll do:
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You will investigate real execution-performance problems across market data, our low-latency trading systems, networks, broker infrastructure, and exchanges. You will use data, experiments, and systems thinking to explain observed behavior and identify opportunities to improve trading execution.
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Analyze market, order, system, and network data to reconstruct event flows and uncover performance patterns.
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Develop hypotheses and run statistical experiments or black-box analysis to understand complex system behavior.
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Build analyses, prototypes, metrics, and visualizations to test ideas and quantify results.
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Work with traders, researchers, and engineers to evaluate and implement improvements.
What youll get:
Youll join a culture of collaboration and excellence, where youll be surrounded by curious thinkers and creative problem solvers. Driven by a passion for continuous improvement, youll thrive in a supportive, high-performing environment alongside talented colleagues, working collectively to tackle the most complex problems in the financial markets.
In addition, youll receive:
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A highly competitive remuneration package.
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Optiver-covered flights and accommodation for the duration of the internship.
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The opportunity to work alongside diverse and intelligent peers in a rewarding environment.
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Training, mentorship and personal development opportunities.
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Gym membership, plus weekly in-house chair massages.
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Daily breakfast, lunch and in-house barista.
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Regular social events.
Who you are:
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University student graduating in 2028 or after 2027 September.
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Pursuing or recently completed a technical degree such as Computer Science, Computer Engineering, Electronic or Communication Engineering, or a related field.
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Strong foundations in computer systems and quantitative reasoning, with depth in areas such as operating systems, networking, computer architecture, software/hardware systems.
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Proficient in Python and data-analysis skills; experience with Linux, C++, large-scale data tools is a plus.
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Curious, analytical, and detail-oriented, with strong problem-solving and learning ability.
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Evidence of technical depth through research, systems or networking projects, internships, or substantial personal projects.
How to apply:
Dont miss your chance to accelerate your career and thrive on one of the most dynamic trading floors in mainland China. Apply now via the form below.
In your application, please submit the following materials in English:
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Resume
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Cover letter (optional)
Questions? Please email
We accept one application per role per year. If you have previously applied to this position during this season and have been unsuccessful, you can re-apply when the next recruitment season begins in 2027.
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