Quant Research Jobs United Kingdom

30 jobs

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  1. Hudson River Trading

    Algorithm Development (Quant Research & Trading) PhD Internship – Summer 2027

    London, United Kingdom; New York, NY, United States; Singapore

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  2. Hudson River Trading

    Algorithm Development (Quant Research & Trading) Internship – Summer 2027

    London, United Kingdom; New York, NY, United States; Singapore

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  3. Hudson River Trading

    Algorithm Developer (Quant Research & Trading) – 2027 PhDs

    London, United Kingdom; New York, NY, United States; Singapore

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  4. Hudson River Trading

    Algorithm Developer (Quant Research & Trading) – 2027 Grads

    London, United Kingdom; New York, NY, United States; Singapore

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  5. Graviton Research Capital

    Quantitative Researcher (PhD) - 2027 Internship

    Amsterdam, North Holland, Netherlands, London, England, United Kingdom, New York, Singapore

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  6. Qube Research & Technologies

    Quantitative Researcher – PhD & Postdoc Opportunities

    London, Paris, Zurich

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  7. Qube Research & Technologies

    2027 - Internship, Quantitative Research and Trading

    Aarhus, Budapest, Dubai, London, Paris, Zurich

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  8. Tower Research Capital

    Quantitative Research Internship - 6 Months, Central Execution Research

    London

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  9. Da Vinci Trading

    Graduate Trading Risk Analyst

    Amsterdam, North Holland, Netherlands

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  10. Flow Traders

    PhD Graduate Quantitative Researcher

    Amsterdam

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Hudson River Trading

Algorithm Development (Quant Research & Trading) PhD Internship – Summer 2027

London, United Kingdom; New York, NY, United States; Singapore

First seen

Eligibility

  • Full-time PhD student

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Apply on company site Full job page

PhD internship focused on algorithm development in quantitative trading and research using advanced techniques and machine learning across global markets.

Responsibilities

  • Apply academic research to real-world trading problems
  • Conduct quantitative research and data analysis using Python/C++
  • Use machine learning and time series techniques to derive insights from large datasets
  • Build predictive models for financial markets
  • Participate in tech talks, mentorships, and social events

Requirements

  • Full-time PhD student in a quantitative discipline
  • Fluency in Python
  • Experience with statistical analysis, numerical programming, or machine learning
  • Strong communication skills

Skills

  • Python
  • C++
  • Machine learning
  • Statistical analysis
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