Summer Quantitative Research Intern – Trading

Summer Quantitative Research Intern – Trading

Full-Time 22500 - 27500 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Engage in hands-on trading games and tackle real-world algorithmic trading challenges.
  • Company: Join Susquehanna, a leading firm in quantitative research and trading.
  • Benefits: Gain valuable experience, training, and potential full-time opportunities after the internship.
  • Other info: Dynamic 10-week programme in London with mentorship from senior traders.
  • Why this job: Perfect for those eager to learn and make an impact in the finance world.
  • Qualifications: Open to PhD and research master’s students; no finance background needed.

The predicted salary is between 22500 - 27500 £ per year.

Susquehanna invites Ph D and research master’s students in their penultimate year to apply for a 10-week quantitative research summer internship in London.

Run by senior traders and researchers, the program combines classroom learning with hands-on trading games and real-world algorithmic trading problems.

No finance background is required as training is provided, and successful interns may be invited to join the full-time graduate programme in subsequent years.

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Summer Quantitative Research Intern – Trading employer: Trading Interview

Tower Research Capital is an exceptional employer that fosters a dynamic and collaborative work culture, where innovation and rigorous experimentation are at the forefront. Located in a vibrant financial hub, employees benefit from cutting-edge technology and resources, alongside ample opportunities for professional growth and development within the fast-paced world of quantitative trading. Join us to be part of a team that values your contributions and rewards your success in a meaningful way.

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Contact Details:

Trading Interview Recruitment Team

We think you need these skills to ace Summer Quantitative Research Intern – Trading

Quantitative Research
Algorithmic Trading
Data Analysis
Statistical Modelling
Problem-Solving Skills
Critical Thinking
Communication Skills