2025 – Internship, Quantitative Research/Trading

Programme duration: From 4-6 months, starting in 2025.

Who qualifies: Penultimate or final year students completing a Bachelor’s, Master’s, or PhD degrees. 

 

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. Our culture is centred around technology, automation, and industrialized processes. We operate in multiple languages from C++ to Python and embrace open-source software. 

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 will offer a stimulating, intellectual and high performing environment, where we look to work together. You will be mentored by industry professionals to support your professional growth, with the prospect of securing a full-time graduate position after successfully completing your internship. 

 

Your future role at QRT  

The specific team you join will be decided considering both your capabilities and the needs of the business, throughout the recruitment process. Here are the potential roles you could assume within one of QRT’s systematic or discretionary desks, spanning high, mid, and low frequencies: 

Quantitative Researcher: you will utilize mathematical modelling, statistical techniques, data analysis, and machine learning methods to analyse data and develop investment strategies. You will share and discuss research results with other researchers, fostering a collaborative environment. Additionally, you will work closely with colleagues across various disciplines, including Traders and Software Engineers, to drive innovation and achieve shared goals.  

Quantitative Trader: you will assist in developing our systematic trading platform, seeking to leverage quantitative research outputs for production purposes. You will continuously track strategy performance, signal behaviour, and execution platform efficiency, helping to identify and manage potential risks. Collaborating closely with senior traders and researchers, you will aim to improve production results, leveraging quantitative methods and programming. 

We are seeking interns eager to learn, exercise creativity, and engage in collaboration to contribute to the firm’s broader growth and success. 

 

Your present skillset  

• Pursuing an advanced degree in a quantitative field such as data science, statistics, mathematics, physics, or engineering

• High level of technical knowledge in statistics, machine learning, NLP or AI techniques is a plus

• Coding skills required in at least one leading programming language (Python and C++ or C#)

• Experience in exploring large datasets across multiple time frames is a plus

• Capacity to multi-task in a fast-paced environment while keeping strong attention to detail

• Ability to work autonomously, in a collegial and collaborative setting, and with colleagues from diverse backgrounds and areas of expertise.

• Excellent communication skills

• Fluent in English, any other language is a plus

 

Interviewing:  

• Apply online: applications are evaluated continuously as they are received.

• The research and trading teams will create a shortlist based on the candidates’ backgrounds and how they perform in technical assessments.

• Interviews conducted on-site or through Teams allow us to evaluate your technical abilities and how well you align with our company culture.

  

We invite candidates for the Quantitative Research position to take part in one of our Data Challenges. This task is designed to give you insight into the daily responsibilities of the role and allows us to assess your abilities and interest: Challenge data (ens.fr) 

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