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Data Scientist Summer Intern

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Optiver

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Location:
China , Shanghai

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

As a Data Scientist intern, who loves to solve both data science and technical problems, you will have the opportunity to perform extensive data analysis to implement new algorithms that support and improve our existing models, strategies, and datasets. By the end of the 8-week internship, you’ll have deepened your understanding of how technology is used in the quantitative trading industry. Plus, if you’ve excelled over the summer, you’ll receive an offer to return as a Graduate Data Scientist.

Job Responsibility:

  • Perform extensive data analysis to implement new algorithms that support and improve our existing models, strategies, and datasets
  • Delve into advanced engineering concepts and lead innovative projects
  • Be exposed to the statistical arbitrage strategies we develop
  • Work with terabytes of market and Optiver internal data
  • Experience our high-powered, computing back-testing and ETL frameworks
  • Challenge each other’s hypothesis
  • Constant testing, analysis, refinement, and innovation to ensure our models and strategies remain at the cutting-edge

Requirements:

  • Students who are graduating in or after 2027
  • Studying a Computer Science, Mathematics, Engineering or similarly technical degree
  • Programming experience in any language, with a preference towards Python
  • Affinity with data, data analysis and data-processing systems
  • Excellent critical thinking skills, and pay attention to details
  • Team players who love working with like-minded peers and are always looking to learn and improve
  • Interested in the trading/quantitative finance industry (previous knowledge is not required)
What we offer:
  • A highly competitive remuneration package
  • Optiver-covered flights and accommodation for the duration of the internship
  • The opportunity to work alongside best-in-class professionals
  • Training, mentorship and personal development opportunities
  • Gym membership, plus weekly in-house chair massages
  • Daily breakfast, lunch and in-house barista
  • Regular social events

Additional Information:

Job Posted:
January 06, 2026

Expiration:
March 16, 2026

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