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About the Role
Join QRT’s growing Business Data & Analytics (BDA) team to turn internal and external data into practical business solutions. Work with developers and business stakeholders to research questions, explore complex datasets, and build tools that inform senior stakeholders. Our internships are designed to give students meaningful experience of that work. You’ll join a team, contribute to real projects and learn from engineers, researchers and traders working on live problems.
Responsibilities
- Translate business questions into analytical approaches, research and evaluate methods, and develop prototypes for integration with developers.
- Combine, structure and validate datasets across firms, teams and people; collect and analyse financial, market and portfolio data.
- Build dashboards monitoring investment performance, portfolio exposures, risk metrics, and market trends.
- Support investment research through quantitative analysis; communicate findings through clear visualisations and explanations for non-technical stakeholders.
- Assess accuracy and reliability, documenting assumptions and limitations.
- Prototype and test AI agents for document information extraction, research summaries, and recurring reports.
Requirements
- Studying towards, or recently completed, a degree in Computer Science, Statistics, Data Science, Mathematics or another STEM discipline with relevant practical experience.
- Strong Python skills, clean, well-structured code, and experience cleaning, joining and modelling data from multiple sources.
- Intellectual curiosity about business, data and technology; strong analytical and problem-solving skills and a consulting mindset.
- Evidence of taking an open-ended problem from idea to working solution through projects, coursework, research or internships.
- Clear communication, initiative, and organisation, with confidence working through undefined requirements.
- Demonstrate experience in your preferred track. Personal and passion projects are welcome: we are interested in what you built, your decisions, and what you learned.
- Applied AI Engineering — Hands-on experience with LLMs, including agents, tool use or retrieval; ability to assess AI outputs for accuracy, reliability and usefulness; interest in software deployment, operation and integration.
- Applied Data Science — Experience applying analytical or statistical methods, visualising data and presenting findings to non-technical users. Prior machine learning experience is not required; curiosity and solid data experience are valued.
- Investment Analytics — Attention to detail, interest in financial markets and investing, working knowledge of Python and Excel for data analysis, and interest in LLMs, AI agents and automation. Clear communication, initiative and collaboration.
Skills
- Python
- LLMs
- Agents
- Retrieval
- AI outputs assessment
- Software deployment
- Software operation
- Software integration
- Analytical methods
- Statistical methods
- Data visualisation
- Presenting findings to non-technical users
- Data experience
- Excel
- Graph data experience
- SQL
- Cloud platforms
- AWS
- Machine learning
- Community detection
- Link prediction
- Embeddings
- Data applications
- APIs
- Dash
- FastAPI
Location
- London
Work Type
- Internship
- Full-time
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. Over the years, 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.