Qube Research & Technologies

3 Jobs

1,680 Employees

About the Company

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all asset classes across the world. Driven by a shared passion for data, research, technology and trading expertise, we strive to deliver high-quality returns for our investors. Established in 2016, QRT can rely on its employees across 12 offices in Europe, Middle East and Asia Pacific. We currently have multiple open positions on our website, please check and apply on line: https://www.qube-rt.com/careers/ QRT supports various coding initiatives as well as academic projects developing and promoting maths and science education. More information: https://www.qube-rt.com/commitments

Listed Jobs

Company Name: Qube Research & Technologies
Job Title: 2026 - Internship, Quantitative Developer
Job Description: **Job Title:** Internship – Quantitative Developer (2026) **Role Summary:** A 5‑6 month internship for penultimate or final‑year Bachelor’s/Master’s students to assist in building and optimizing high‑performance trading infrastructure, research platforms, and internal tooling. The role offers hands‑on development experience in low‑latency systems and exposure to quantitative research and trading teams, with potential for a full‑time graduate offer. **Expectations:** - Duration: 5–6 months, starting 2026 - Academic level: Penultimate or final year of a Bachelor’s or Master’s program - Ability to work autonomously in a fast‑paced, high‑performance environment - Strong analytical and communication skills for direct interaction with traders and researchers - Commitment to delivering high‑quality, production‑ready code **Key Responsibilities:** - Develop and optimize low‑latency trading infrastructure and execution logic (C++ / .NET) - Build and maintain scalable APIs, data pipelines, and orchestration frameworks for quantitative research - Design internal tools and workflow automation solutions for traders and researchers - Create monitoring dashboards and analytics tools for risk and performance oversight, incorporating data visualization and machine‑learning techniques where applicable - Contribute to core trading system components, including signal generation, model evaluation, and data ingestion pipelines (London‑focused) **Required Skills:** - Strong fundamentals in algorithms, data structures, parallel programming, and OOP - Proficiency in C++, C# or Python; interest in high‑performance, real‑time systems - Solid problem‑solving approach with attention to code quality and performance - Excellent verbal and written communication; ability to collaborate with cross‑functional teams - Basic knowledge of SQL or NoSQL databases (preferred) - Familiarity with front‑end development (nice‑to‑have) - Interest in financial markets, algorithmic trading, or quantitative research **Required Education & Certifications:** - Currently enrolled in the penultimate or final year of a Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, or a related quantitative discipline - No specific certifications required.

London, United kingdom

On site

19-12-2025

Company Name: Qube Research & Technologies
Job Title: 2026 - Internship, Data Engineering
Job Description: **Job Title**: 2026 Internship, Data Engineering **Role Summary** Internship (5–6 months, 2026) supporting data teams in a quantitative investment firm. Engage in data acquisition, engineering, and platform design to power research and trading operations. **Expectations** * Academic: Penultimate or final year student pursuing a Bachelor’s or Master’s. * Work: 5–6 month full‑time placement with potential full‑time offer. * Deliverables: Design, build, and maintain data solutions; collaborate with traders, researchers, and engineers. **Key Responsibilities** 1. Source, design, and onboard new datasets for trading desks. 2. Implement data stores, APIs, and ingestion pipelines for real‑time and batch workflows. 3. Monitor and optimize data process health, performance, and scalability. 4. Collaborate with data engineers to deliver production‑ready datasets. 5. Support researchers and traders in accessing and leveraging data platform capabilities. 6. Participate in full lifecycle of data integration projects from acquisition to production. **Required Skills** * Strong computer‑science fundamentals: algorithms, data structures, parallel programming, OOP. * Programming: Python; optionally C#, C++. * Experience or strong interest in low‑latency, high‑performance systems. * Excellent communication, analytical, and problem‑solving skills. * Ability to work autonomously in a fast‑paced environment. **Preferred Skills** * Knowledge of SQL or NoSQL databases. * Front‑end development experience. * Interest in financial markets or algorithmic trading. **Required Education & Certifications** * Current enrolment in an undergraduate or graduate program (Bachelor’s or Master’s). No additional certifications required.

London, United kingdom

On site

19-12-2025

Company Name: Qube Research & Technologies
Job Title: Data Scientist
Job Description: **Job Title:** Data Scientist **Role Summary:** Support Research and Trading teams by sourcing/sourcing datasets, optimizing data workflows, and accelerating production of trading systems. Focus on end-to-end data lifecycle management and applied analytics. **Expectations:** - 3+ years in Data Scientist or equivalent role; quantitative finance experience preferred. - Postgraduate degree in Mathematics, Physics, or Engineering. **Key Responsibilities:** - Source, design, and onboard datasets aligned with trading priorities. - Diagnose/resolving data challenges to expedite system deployment. - Manage full lifecycle of data projects (acquisition, engineering, prototyping, production). - Act as technical expert on internal tools for Research and Trading teams. - Collaborate cross-functionally to enhance productivity and efficiency. **Required Skills:** - Advanced Python programming (Pandas, NumPy). - Experience with traditional/alternative financial datasets. - Strong communication/collaboration across stakeholders. - Problem-solving under high-velocity, performance-driven environments. **Required Education & Certifications:** - Postgraduate degree in quantitative field (Mathematics, Physics, Engineering). - No certifications specified.