Programme duration: 6 months, starting in 2026.   

Who qualifies: 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 Machine Learning Engineer at QRT, you will contribute to building the systems used to evaluate and compare LLMs across a range of tasks and datasets. Design evaluation pipelines, define scoring methodologies, and develop the services that run, track, and reproduce experiments at scale. Integrate new models into a unified framework and optimize evaluation workflows for performance and reliability.

Your present skillset  

• Strong Python skills, with experience building reliable and maintainable systems.

• Solid software engineering fundamentals, including APIs, testing, and modular design.

• Experience working with data pipelines and experimentation workflows.

• Excellent communication skills - you will interact directly with Traders and Researchers.  

• Strong analytical and problem-solving skills, with a structured approach to ambiguous problems.

• Interest in large language models (LLMs), machine learning systems, and evaluation methodologies.

Preferred qualifications (a plus): 

• Experience with LLM tooling or frameworks (e.g. Hugging Face, OpenAI APIs, vLLM, or similar).

• Familiarity with evaluation or benchmarking frameworks (e.g. lm-eval, HELM, or custom evaluation pipelines).

• Exposure to distributed systems, parallel computing, or GPU-based workloads.
• Experience with experiment tracking tools (e.g. MLflow, Weights & Biases) or similar systems.
• Interest in model evaluation, robustness, and real-world performance of machine learning systems.

Interview Process 

•  Application - Submit your application online. We review applications on a rolling basis, so we recommend applying early to maximize your chances. 

• Technical Assessment - Selected candidates will be invited to complete a coding challenge designed to evaluate core technical and problem-solving skills. 

• 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.  

Who we are

What you will be doing: Key responsibilities

As a Senior Data Analyst, your role will encompass:

• Conducting projects to accompany the transformation of your clients’ businesses through the effective collection, processing, and visualisation of data
• Extracting valuable insights from our clients’ marketing-related data sources.
• Designing dashboards for marketing decision-making while taking into account the business needs
• Accompanying our clients in the conception and implementation of data architectures and data pipelines, from collection to monitoring.
• Actively contributing to the expertise level and competencies of the Data & Analytics team
• Closely collaborate with the other divisions (Media & Activation, Creation, Consulting, Data Science and Data Engineer) to provide comprehensive services to your clients

Being a great tech role model

• Demonstrating the skill and credibility required to ensure the success of our clients’ initiatives
• Researching and developing new technical approaches to address problems efficiently
• Staying up-to-date on developments within the industry, sharing best practices and actively contributing to Artefact’s institutional knowledge
• Embodying Artefact’s values and inspiring others to do the same

Qualifications: Education & experience required

• Having an academic level of education (Bachelor or Master), in a data-driven working environment, you have experience or have knowledge in :

  • A minimum of 3 year of work experience in a data-driven working environment
  • 1 or more data collection (Google Analytics, Adobe Analytics, SQL database, CRM database, transactional data)
  • 1 or 2 programming languages among SQL, Python and/or R.
  • 1 or more Data visualisation tool (Tableau, Data Studio, Dataviz, R / Python dataviz libraries, ...) 

  In addition, you have the knowledge in one or more of the following technologies:

  • Google Cloud Platform resources (Big Query, Google Cloud Storage) or its equivalent in Azure or AWS
  • You know how to connect to an API through the knowledge of the different authentication method (OAuth, HTTP Basic, API key)
  • Advertising tool, linked to tracking and/or analytics in a marketing context (Google Analytics, Adobe Analytics, DMP, DSP, Adservers, DV 360...)  
  • ETL tool (Airflow, Dataiku, Dataflow, Dataprep...) 
  • Web application (R-Shiny, Python Flask) that you have industrialized

  Ideally you have: 

  • Knowledge of statistics 
  • Knowledge of machine learning and data engineering

What we are looking for

• A Doer: you get things done and inspire your team to do the same
• An Analyst: you LOVE data and think every company should take their decisions based on facts
• A Pragmatist: you have a no-nonsense mindset that seeks for practical and realistic solutions
• A Mentor: your clients and colleagues naturally seek you out for advice
• An Adventurer: you’re an entrepreneur constantly looking for business opportunities

Why you should join us

• Artefact is the place to be: come and build the future of marketing
• Progress: every day offers new challenges and new opportunities to learn
• Culture: join the best team you could ever imagine
• Entrepreneurship: you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!

Come join us!