Quant Research Internship: Microstructure, ML & Execution

Quant Research Internship: Microstructure, ML & Execution

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

  • Tasks: Conduct cutting-edge research and data analysis to enhance trading systems.
  • Company: Tower Research Capital, a top quantitative trading firm with a collaborative vibe.
  • Benefits: Gain hands-on experience, mentorship, and exposure to advanced trading technologies.
  • Other info: Join a dynamic team focused on innovation and professional growth.
  • Why this job: Make a real impact on global trading strategies while working with brilliant minds.
  • Qualifications: PhD student in a quantitative field with strong skills in math, stats, and programming.

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

Tower Research Capital is a leading quantitative trading firm offering an internship on our Central Execution Desk.

You will work on cutting-edge execution research, modeling, and evaluation of execution performance within a global, collaborative team.

The role emphasizes research, data analysis, and practical impact on trading systems.

We seek a current Ph D student in a quantitative field with strong math, statistics, optimization, and ML foundations, plus experience in Python, C++, or Rust.

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Quant Research Internship: Microstructure, ML & Execution employer: Tower Research Capital

Tower Research Capital is an exceptional employer, offering a stimulating and collaborative work environment in the heart of London. With a strong focus on employee growth, we provide continuous learning opportunities, generous benefits, and a culture that values innovation and teamwork. Our commitment to fostering a friendly atmosphere ensures that every team member can thrive while contributing to our cutting-edge trading solutions.

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Contact Details:

Tower Research Capital Recruitment Team

We think you need these skills to ace Quant Research Internship: Microstructure, ML & Execution

Research Skills
Data Analysis
Mathematics
Statistics
Optimisation
Machine Learning (ML)
Python