2026 - Internship, Full-Stack Software Engineer at Qube Research & Technologies

Paris, Ile-de-France, France -

Full Time

Start Date

Immediate

Expiry Date

04 May, 26

Salary

0.0

Posted On

03 Feb, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, APIs, Web Backends, JavaScript, TypeScript, React, HTTP, REST, JSON, Web Security, Git, CI, Data Visualization, AWS, Docker, UX Design

Industry

Financial Services

Description

Programme duration: from 5 to 6 months, starting in 2026. Who qualifies: Penultimate or final year students completing a Bachelor's, Master's. 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. Over the years, QRT has invested in a global research and execution platform which has been deployed to cover all geographies and asset classes. This platform covers a broad spectrum from high to low frequency trading systems. We thrive at the intersection of cutting-edge technology, smart automation, and scalable processes, enabling us to move fast, think big, and deliver at scale. We are committed to identifying and developing exceptional talent, and are inviting a new cohort of outstanding individuals to join us in the year ahead. Our internship offers a stimulating, intellectually rigorous, and high-performance environment, where collaboration is key to success. You will work alongside and be mentored by industry-leading professionals, gaining invaluable experience and positioning yourself for the opportunity to secure a full-time graduate role upon successful completion of the program. Your future role at QRT As a Full-stack Developer at QRT, you will contribute to designing and shipping a modern web UI to monitor Researchers’ job pipelines (live status, DAG view, metrics, logs, retries), built on an existing Python library and AWS services. Your present skillset Proficiency in Python; experience building APIs/web backends (FastAPI, Flask or similar) Knowledge of frontend development with JavaScript/TypeScript, React or a comparable SPA framework. Solid understanding of HTTP/REST, JSON, and basic web security. Git workflows - ability to write tests and use CI (exposure to GitLab CI is a plus). Excellent communication skills – you will interact directly with Traders and Researchers Appetite for becoming autonomous quickly Ability to work in a fast-paced environment Rigorous and structured mindset Preferred qualifications (a plus): Data visualization (e.g., D3.js, Recharts, Plotly) and real-time UIs (WebSockets/SSE). Experience with AWS (EC2, ECS/EKS, S3, CloudWatch), Docker, and containerized develpment environments. Some exposure to job orchestration/queues use cases (think Celery, Airflow, Argo, Dagster) or distributed systems. Basic UX design chops and component libraries (MUI, Chakra, Tailwind). Interview Process Application - Submit your application online. We review applications on a rolling basis, so we recommend applying early to maximize your chances. Interviews - Shortlisted applicants will proceed to interviews, conducted either on-site or via Microsoft Teams. These will assess both your technical expertise and your alignment with our culture and values. 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.

Responsibilities

As a Full-stack Developer at QRT, you will contribute to designing and shipping a modern web UI to monitor Researchers’ job pipelines. This includes working with an existing Python library and AWS services.