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 within QRT

This team is integral to the firm’s success. As such, your responsibilities will include:

• Sourcing, designing and onboarding new datasets according to trading desks’ priorities
• Becoming an expert on QRT’s internal tools to help the relevant desks efficiently, using data in production of trading systems
• Proactively solving data related problems in order to minimise time to production
• Managing the full lifecycle of data sourcing projects, which includes data acquisition/exploration/engineering, prototyping and production

Your present skillset

• Pursuing an advanced degree in a quantitative field such as data science, statistics, mathematics, physics, computer science or engineering
• Excellent programming skills with Python, including proficiency with data handling libraries such as Pandas and NumPy
• A keen interest in financial markets and the application of data in its analysis and understanding
• Excellent communication skills, with the ability to effectively collaborate with all stakeholders, including researchers, traders, engineers, management, and external vendors
• Ability to work in a high-performance, high-velocity environment

Application Process:

• Submit your application online: Applications are reviewed on a rolling basis as they are received, so we encourage you to apply early.
• Technical Assessment: After applying, you'll be invited to complete a coding challenge designed to assess your technical skills.
• Shortlisting: Our engineering teams will carefully review your background and performance on the coding challenge to create a shortlist of candidates.
• Interviews: If shortlisted, you will be invited to interviews, which may take place either on-site or via Microsoft Teams. During the interviews, we will evaluate both your technical expertise and how well you align with our company values and culture.

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.