2027 - Internship, Software Engineering and Quantitative Development at Qube Research & Technologies | CH | Rezi

2027 - Internship, Software Engineering and Quantitative Development at Qube Research & Technologies

2027 - Internship, Software Engineering and Quantitative Development

Qube Research & Technologies · CH

2 weeks ago

2027 - Internship, Software Engineering and Quantitative Development

Qube Research & Technologies · CH

16 days ago
Resume preview

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now
Resume preview

Tailor your resume to this 2027 - Internship, Software Engineering and Quantitative Development role.

Rezi rewrites your resume against Qube Research & Technologies's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the 2027 - Internship, Software Engineering and Quantitative Development posting at Qube Research & Technologies — free, in seconds.

About the Role

Interns at Qube Research & Technologies (QRT) will contribute to real projects, gaining meaningful experience by working alongside engineers, researchers, and traders on live problems. The environment is technical, collaborative, and demanding, offering opportunities to ask questions, test ideas, and take ownership. Strong performance may lead to consideration for a full-time graduate role.

Responsibilities

  • Help build the systems, platforms, and tools behind QRT’s research, trading, and investment activities.
  • Work alongside experienced engineers, quantitative developers, researchers, and traders.
  • Contribute to production technology and solve problems where performance, reliability, and good engineering judgment matter.
  • Understand technical problems, make sensible engineering choices, and build useful solutions.
  • Build tools combining static analysis and large language models to identify issues in public APIs.
  • Extend Exchange Simulators to support market orders, time-in-force instructions, and algorithmic orders.
  • Extend risk data platforms to support trading in new trade types.
  • Create lightweight trading interfaces with order entry, live market and position views, and clear visualization of trading activity.
  • Build high-performance C++ systems for real-time trading, contributing to low-latency infrastructure and execution technology.
  • Develop platforms for quantitative research, including machine learning systems and data pipelines.
  • Design tools that simplify workflows, improve access to data, and make complex information easier to understand through effective visualization.

Requirements

  • Penultimate or final-year students pursuing a Bachelor’s or Master’s in a STEM discipline (e.g., Computer Science, Physics, Mathematics, or related Engineering subject).
  • On track for a 2:1 or above from a leading institution.
  • Enjoy solving technical problems and are curious about how systems work.
  • Interested in building things.
  • Hands-on experience through personal projects, open-source contributions, hobbies, internships, or academic work.
  • Proficiency in C++, C#, or Python.
  • Familiarity with scripting languages such as Python or Bash.
  • Familiarity with tools and technologies including Git, SQL, GCC, and Linux.
  • Curious, proactive, and comfortable asking questions.
  • Look for ways to make systems simpler, faster, or more reliable and can turn observations into practical improvements.
  • Self-motivated, thoughtful, and comfortable taking ownership of a problem.
  • Selected candidates will complete a coding challenge focused on core programming and problem-solving skills.
  • Shortlisted candidates will take part in interviews exploring technical thinking, approach to unfamiliar problems, and teamwork.

Skills

  • C++
  • C#
  • Python
  • Bash
  • Git
  • SQL
  • GCC
  • Linux
  • Static Analysis
  • Large Language Models
  • Exchange Simulation
  • Risk Data Management
  • Trading Interface Development
  • Real-Time Systems
  • Quantitative Research Platforms
  • Machine Learning
  • Data Pipelines
  • Visualization

Location

  • London
  • Paris
  • Wrocław
  • Zurich

Work Type

  • Internship
  • Industrial Placement

Experience Level

  • Internship
  • Penultimate-year
  • Final-year

Education Level

  • Bachelor’s degree
  • Master’s degree

Benefits

  • Initiatives and programs to enable employees achieve a healthy work-life balance.

About the Company

  • Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes and markets worldwide.
  • Our approach to investing is scientific: we bring together data, research, technology and trading expertise to develop and run systematic strategies.
  • Technology is central to how QRT works.
  • We have built a global research and execution platform spanning geographies, asset classes and trading horizons, from ultra-low-latency systems to large-scale research, analytics and risk infrastructure.
  • We invest heavily in engineering, automation and scalable systems because better technology allows us to test ideas faster, operate more reliably and tackle harder problems.

Equal Opportunity

  • QRT is an equal opportunity employer.
  • We welcome diversity as essential to our success.
  • QRT empowers employees to work openly and respectfully to achieve collective success.