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Internship, Software Engineering and Quantitative Development

targetjobs UK
London, GBR
Volunteer
Internship
Onsite
Discovered 1 months ago
C++C#PythonBashGitSQL

Full Job Posting

Programme Overview

QRT offers final-year and penultimate-year technology internships in software engineering and quantitative development.

Programmes last 3 to 6 months or 12 months as an industrial placement and start in 2027.

The listed programme locations are London, Paris, Wrocław, and Zurich.

About QRT

Qube Research & Technologies is a global quantitative and systematic investment manager operating across liquid asset classes and markets.

QRT builds research, execution, analytics, risk, and trading infrastructure across geographies, asset classes, and trading horizons.

Intern Experience

Interns join teams, contribute to real projects, and work with engineers, researchers, and traders on live technical problems.

Strong performance may lead to consideration for a full-time graduate role.

Software Engineering

  • Build technology supporting trading and investment activities, including market connectivity, execution, analytics, risk, and P&L systems.
  • Potential projects include AI-powered static analysis, exchange simulator enhancements, risk data platforms, and trading interfaces.

Quantitative Development

  • Work between research, trading, and engineering to build technology for market analysis, strategy development, and production trading.
  • Potential projects include real-time C++ systems, research platforms, machine learning systems, data pipelines, and trading tools.

Current Skillset

  • Be a penultimate or final-year bachelor's or master's student in a STEM discipline and on track for a 2:1 or above.
  • Have hands-on software engineering experience from projects, open source, hobbies, internships, or academic work.
  • Demonstrate proficiency in C++, C#, or Python.
  • Have familiarity with Python or Bash, Git, SQL, GCC, and Linux.
  • Be curious, proactive, self-motivated, thoughtful, and comfortable taking ownership.

Selection Process

  • Selected candidates complete a coding challenge focused on programming and problem solving.
  • Shortlisted candidates attend assessment-centre or online interviews covering technical thinking and collaboration.

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