Quant Research Internships

71 jobs

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  1. G-Research

    Quant Research Internship

    London

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  2. IMC Trading

    Research Analyst Intern - Summer 2027

    Chicago, United States

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  3. IMC Trading

    Quantitative Research Intern 2027

    Hong Kong, Hong Kong

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  4. IMC Trading

    Quantitative Research Intern (PhD) - Summer 2027

    Chicago, United States

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  5. IMC Trading

    Quantitative Research Intern (BS/MS) - Summer 2027

    Chicago, United States

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  6. IMC Trading

    Quant Performance Engineer Intern - Summer 2027

    Chicago, United States

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  7. Man Group

    Systematic Quant Intern - PhD

    Massachusetts

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  8. Man Group

    Quant Research Analyst Intern

    Shanghai

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  9. Capstone Investment Advisors

    Summer 2027 - Risk Internship

    London

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  10. Capstone Investment Advisors

    Summer 2027 - Quant Internship

    London

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  11. Capstone Investment Advisors

    Summer 2027 - Investment Internship NYC

    New York, New York

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  12. Capstone Investment Advisors

    Summer 2027 - Investment Internship LDN

    London

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  13. Vatic Labs

    AI Research Internship (Summer 2027)

    New York

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  14. Aquatic Capital Management

    Quantitative Researcher, Intern (Summer 2027)

    Chicago; London

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  15. DV Trading

    Quantitative Risk Intern - Summer 2027

    Chicago

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  16. DV Trading

    Quantitative Research Intern - Summer 2027 (DV Equities)

    New York

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  17. DV Trading

    2027 Quantitative Research Intern (DV QES)

    Hong Kong

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  18. Jane Street

    Quantitative Researcher

    Hong Kong, Hong Kong

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  19. Jane Street

    Quantitative Researcher

    New York, New York, United States

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  20. Jane Street

    Quantitative Researcher

    London, England, United Kingdom

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G-Research

Quant Research Internship

LondonOn Site

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Eligibility

  • Final or penultimate year students in MSc or PhD quantitative degrees.
  • Interest in finance and willingness to learn finance domain knowledge.

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Apply on company site Full job page

A 10-week Quantitative Research Internship in London offering meaningful research projects applying data science, machine learning, and advanced mathematical methods to financial time series. Includes mentorship and presentations, targeting MSc/PhD students.

Responsibilities

  • Conduct research applying mathematical modeling, deep learning, and optimization to financial data.
  • Implement back-testing frameworks to ensure signal robustness.
  • Collaborate with mentors and receive feedback during the project.
  • Present findings to senior management.

Requirements

  • Strong mathematical background.
  • Intermediate programming skills in Python or C#.
  • Interest in data science, machine learning and optimization applied to finance.
  • Currently in final or penultimate year of Masters or PhD in technical or quantitative subjects.
  • Prior GitHub or Kaggle activity desirable but not mandatory.

Skills

  • Quantitative Research
  • Mathematics
  • Python
  • Machine Learning
  • Optimization
  • Financial Time-Series Analysis
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