Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

2025 - Internship, Quantitative Developer

Qube Research & Technologies Limited
London
7 months ago
Applications closed

Related Jobs

View all jobs

Senior Azure Data Engineer

Lead Data Scientist - Remote

Lead Data Engineer

Java Quantitative Developer Low Latency

Data Analyst

DATA ENGINEERS (DATA CENTRE FIBE INSTAL)

2025 - Internship, Quantitative Developer

London

Programme duration:from 5 to 6 months, starting in 2025.

Who qualifies:Penultimate or final year students completing a Bachelor's, Master's, or PhD degrees.

Qube Research & Technologies (QRT)is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

You will be joining a community of graduates and interns, who are all looking to build a future career within QRT. We believe in nurturing talent to be successful and are looking for a new cohort of individuals to join the firm in the upcoming year. We offer a stimulating, intellectual and high performing environment, where we foster collaboration.

Your future role at QRT

The specific team you join will be decided considering both your capabilities and the needs of the business throughout the recruitment process.

  • Quantitative Developer: within one of our quantitative or discretionary trading desks, you will design, implement, and monitor real-time trading algorithms. You will integrate these algorithms into our live trading platform and build low-latency tools for our trading teams. You will also provide direct support to Researchers and Traders while gaining hands-on experience with low latency trading components, including software, hardware, and systems.
  • Excellent fundamental computer science skills such as algorithmics, data structures, algorithmic complexity, parallel programming, OOP etc.
  • Interest in software engineering/infrastructure/data engineering in a low latency environment, using C++, C# or Python.
  • Interest in developing skills in real-time critical trading systems.
  • Excellent communication and analytical skills – you will interact directly with Traders and Researchers.
  • Appetite for becoming autonomous quickly, and ability to work in a fast-paced environment.
  • Rigorous and structured mindset.

Additional:

  • Database knowledge such as SQL/NoSQL is a plus.
  • Front-end development is a plus.
  • Interest in financial markets/algorithmic trading is a plus.

Application Process:

  • Submit your application online:Applications are reviewed on a rolling basis as they are received, so we encourage you to apply early.
  • Technical Assessment:After applying, you'll be invited to complete a coding challenge designed to assess your technical skills.
  • Shortlisting:Our engineering teams will carefully review your background and performance on the coding challenge to create a shortlist of candidates.
  • Interviews:If shortlisted, you will be invited to interviews, which may take place either on-site or via Microsoft Teams. During the interviews, we will evaluate both your technical expertise and how well you align with our company values and culture.

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. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.

The Best Free Tools & Platforms to Practise Data Science Skills in 2025/26

Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation. But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems. The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.

Top 10 Skills in Data Science According to LinkedIn & Indeed Job Postings

Data science isn’t just a buzzword — it’s the engine powering innovation in sectors across the UK, from finance and healthcare to retail and public policy. As organisations strive to turn data into insight and action, the need for well-rounded data scientists is surging. But what precise skills are employers demanding right now? Drawing on trends seen in LinkedIn and Indeed job ads, this article reveals the Top 10 data science skills sought by UK employers in 2025. You’ll get guidance on showcasing these in your CV, acing interviews, and building proof of your capabilities.