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 includes everything from high-frequency trading proficiency to extensive multi-year simulation research infrastructures. Our culture is centred around technology, automation, and industrialized processes. We operate in multiple languages from C++ to Python and embrace open-source software.
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.
You will have the opportunity to join a growing and dynamic environment, where you will be mentored by industry experts to support your professional growth, this includes the prospect of securing a full-time graduate position after successfully completing your internship.
Your future role at QRT
The successful candidate will join a growing Business Data and Analytics team playing a key role in supporting the development of our applications. In this role, you will collaborate with cross functional teams to transform internal and external data into high-value insight for senior stakeholders:
- Develop and maintain internal data applications developed on Python Dash
- Refactor legacy code to be clean, stable and production-ready
- Automate internal workflows using AWS and help maintain the existing infrastructure
- Proactively improve existing functionality or add new features
Your present skillset
- Degree in a STEM discipline or equivalent experience, graduating in 2025, 2026 or 2027
- Eagerness to learn about and adapt to new technologies
- Good understanding of best practices in Software Development (e.g. TDD)
- Knowledge of Python, and common Python libraries (e.g. Dash, FastAPI, SQLAlchemy, Pydantic)
- Organised, proactive and able to manage your own development pipeline
- Good to haves
- Experience in cloud computing/architecture and IaC, particularly AWS and Terraform
- Experience with front-end development (e.g. Dash, React)
- Good knowledge of SQL
Interviewing:
- Apply online: Applications are reviewed on a rolling basis as they are received, so we encourage you to apply early
- Resume Reviewed: Your application will be reviewed by a member of the Talent team, before being handed over to the Production Support team for final review. If successful, we will invite you to the next round.
- Interviewing: Our team will assess your skill set across at least three rounds of interviews. These can take place via Teams or onsite
- Offer: Successful candidates will receive an offer to join our team
Qube Research & Technologies London, England Office
160 Victoria Street, London, United Kingdom, SW1E 5LB
