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2026 - Internship, Quantitative Research/Trading

Оценка ИИ

Исключительная возможность для студентов начать карьеру в топовом хедж-фонде с мировым именем, отличными перспективами трудоустройства и сильной менторской программой.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена строгими требованиями к математической подготовке, навыкам программирования (C++/Python) и необходимостью прохождения специализированных Data Challenges.

Анализ зарплаты

Медиана5 000 €
Рынок3 500 € – 7 000 €
Оценка ИИ

Стажировки в ведущих количественных фондах (Quant Shops) в Европе и ОАЭ обычно оплачиваются значительно выше среднего по рынку, часто включая компенсацию жилья. Указанный диапазон отражает рыночные стандарты для Лондона, Парижа и Цюриха.

Сопроводительное письмо

I am writing to express my strong interest in the 2026 Quantitative Research/Trading Internship at Qube Research & Technologies. As a student pursuing an advanced degree in a quantitative field, I have developed a deep fascination with systematic investment strategies and the application of scientific methods to financial markets. My academic background has provided me with a solid foundation in statistics and machine learning, which I am eager to apply to the complex, large-scale datasets that QRT manages.

I am particularly drawn to QRT’s collaborative culture and its position at the intersection of cutting-edge technology and high-performance trading. My proficiency in Python and experience with data analysis align well with the technical requirements of the Research and Trading teams. I am eager to contribute to the development of predictive signals and the optimization of execution platforms while learning from industry-leading professionals in a fast-paced, intellectually stimulating environment.

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Откликнитесь в quberesearchandtechnologies уже сейчас

Присоединяйтесь к лидеру количественного трейдинга и начните карьеру в QRT, подав заявку на стажировку 2026 года уже сегодня!

Описание вакансии

Programme duration:From 4-6 months, starting in 2026. Most individuals join in April, May, or June of each year.    

Who qualifies: Penultimate or final year students completing a Bachelor's or a Master's degree. 

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   

Throughout the recruitment process, we will work to align your skills, interests, and potential with the teams where you can make the greatest impact. 

As a Quantitative Research Intern, you could contribute in one of two complementary areas within one of QRT's systematic teams - spanning high, mid, and low-frequencies: 

Research 

Your core objective will be to develop high-quality predictive signals. You will leverage access to vast and diverse datasets to identify hidden statistical patterns and market opportunities. Collaborating with fellow researchers to exchange ideas and refine methodologies. You will be trained to lead the full research cycle - from idea generation to implementation.   

Trading 

You will contribute to the live deployment of QRT’s research by working on the systematic trading platform itself. This involves monitoring signal behaviour, tracking performance, and improving execution efficiency, while also helping to identify and manage potential risks. Working closely with senior Researchers and Traders, you will focus on refining and scaling systematic processes, applying your quantitative and programming skills to ensure strategies perform optimally in production. 

We’re looking for interns who are curious, creative, and collaborative. If you’re passionate about learning, excited to take on challenges, and ready to make a real impact, you’ll find plenty of opportunities to grow with us. 

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 on a rolling basis by a member of our Talent Acquisition team. This is a great opportunity to stand out, as we read every application carefully and look for specific, thoughtful answers that reflect your genuine interests.
  • Interviews conducted on-site or through Teams allow us to evaluate your technical abilities and how well you align with our company culture.

We encourage you to take part in one of our Data Challenges, which offer a valuable opportunity to engage with the types of problems encountered in the Quantitative Research role while showcasing your analytical and technical skills. Strong performance may lead to direct follow-up from our team, making it an excellent way to gain early visibility in the recruitment process: 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

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Навыки

  • Python
  • C++
  • Statistics
  • Machine Learning
  • Natural Language Processing
  • Artificial Intelligence
  • Data Analysis
  • Quantitative Research
  • Quantitative Trading

Возможные вопросы на собеседовании

Проверка фундаментальных знаний статистики, необходимых для разработки торговых сигналов.

Можете ли вы объяснить концепцию p-value и как бы вы использовали её для проверки гипотезы о прибыльности новой торговой стратегии?

Оценка навыков работы с данными и понимания временных рядов.

Как вы справляетесь с проблемой переобучения (overfitting) при работе с финансовыми временными рядами?

Проверка навыков алгоритмизации и оптимизации кода.

Реализуйте на Python или C++ эффективный алгоритм для вычисления скользящего среднего в потоке данных в реальном времени.

Оценка понимания рыночных механизмов.

В чем разница между маркет-мейкингом и статистическим арбитражем с точки зрения управления рисками?

Проверка мотивации и интереса к конкретной компании.

Какой из недавних Data Challenges от QRT показался вам наиболее интересным и какой подход к решению вы выбрали?

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