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Qube Research & Technologies

2025 Internship - Data Analytics

🌎

London

2d ago
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Job Description

Location: London  

Programme duration: 6-months

Who qualifies: Final year students completing Bachelor’s or Master’s degree in Data Analyses, Data Science and Statistics

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 Data Analytics team within Talent Development & HR. In this role, you will contribute by leveraging data science and analytical expertise to design, build, and deploy innovative data products and solutions. You will be collaborating with the team and have the following responsibilities:

  • Assist with deploying workforce analytics solutions using advanced data analyses
  • Develop and maintain our products, including dashboards, reports, and models, to provide actionable insights for our stakeholders.
  • Managing the data lifecycle, from collection to visualization, while ensuring strong data integrity
  • Proactively identify opportunities to automate processes to improve efficiency and scalability
  • Ideate and experiment ways to leverage human capital data to support business decisions and strategy
  • Staying up to date on new processes, technologies, and best practices in data analytics and data science, and sharing insights with the team

Your present skillset 

  • Recent graduate with a degree that involves data analyses, data science or statistics
  • Intermediate proficiency in python and its associated libraries (Pandas, Plotly, Dash, ML etc.)
  • Advanced skills in Microsoft Excel is a must
  • Experience with Plotly Dash, Power BI and Tableau or any other data visualization tools
  • Keen interest in human capital data and an enthusiasm for digging into large datasets
  • Previous experience in conducting mixed method data projects is preferred
  • An ability to manage multiple priorities whilst working in a fast-paced dynamic environment
  • Strong attention to detail and a proactive mindset
  • Self-starter who can organize their own workload as well as assisting others

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 

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.

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