Quant Research Internships China

7 jobs

  1. Man Group

    Quant Research Analyst Intern

    Shanghai

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  2. Jump Trading / Jump Crypto

    Campus Quantitative Researcher (Off-Cycle - Winter/Spring 2027 Intern)

    Hong Kong; Shanghai

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  3. Jump Trading / Jump Crypto

    Campus Quantitative Researcher (Intern)

    Hong Kong; Shanghai

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  4. WorldQuant

    Quantitative Research Intern

    Beijing OR Shanghai

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  5. Qube Research & Technologies

    2027 – Internship or Graduate, Quantitative Research and Trading

    Hong Kong, Singapore, Shanghai, Beijing

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  6. Tower Research Capital

    Quantitative Researcher Intern, PhD or Postdoc

    Singapore, Hong Kong, Shanghai, Sydney

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  7. Tower Research Capital

    Quantitative Researcher Intern, Bachelor's or Master's

    Singapore, Hong Kong, Shanghai, Sydney

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Man Group

Quant Research Analyst Intern

Shanghai

First seen

Eligibility

  • Internship suitable for undergraduates or recent graduates with quantitative academic background.

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Apply on company site Full job page

Quantitative research internship focused on portfolio management, investment signal validation, data analysis, and research support within a quantitative investment strategy team.

Responsibilities

  • Validate inputs and outputs of investment signals with portfolio managers.
  • Analyse portfolio construction process and ensure investment philosophy integrity.
  • Work with large data sets and liaise with data vendors to resolve quality issues.
  • Design tools for portfolio evaluation and performance analysis.
  • Assist research teams with enhancing and creating new investment signals.
  • Conduct analysis for client communications and presentations.

Requirements

  • Undergraduate or graduate coursework in finance, statistics, computer science, economics, or mathematics.
  • 1-3 years investing experience preferred but outstanding undergraduates considered.
  • Solid understanding of accounting and financial statement analysis.
  • Proficient in Microsoft Excel.
  • Coding experience preferred (Python or SAS) but training provided.
  • Deep interest in investing and financial markets.
  • Strong work ethic and flexible schedule.
  • Detail oriented with good communication and collaboration skills.
  • Strong sense of integrity.

Skills

  • Python
  • Excel
  • Financial analysis
  • Data analysis
  • Communication
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