Qube Research & Technologies
2027 - Internship, Business Data Analytics
Eligibility
- Penultimate or final-year students completing a bachelor’s or master’s degree.
Internship program targeting penultimate or final-year students to work in business data analytics, including applied AI engineering, applied data science, and investment analytics at a quantitative investment firm.
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.
- Track-specific skills relevant to Applied AI Engineering, Applied Data Science, or Investment Analytics.
Skills
- Python
- LLMs
- agents
- retrieval
- statistical methods
- machine learning
- graph-based methods
- dashboarding
- communication
- data cleaning
- data modelling
- SQL
- AWS
- Dash
- FastAPI
- Employer posted
- Last checked