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2026 Internship/Graduate - Technology

Оценка ИИ

Исключительная возможность для студентов начать карьеру в топовом хедж-фонде с перспективой перехода в штат, отличным менторством и работой над передовыми технологиями.


Вакансия из Quick Offer Global, списка международных компаний
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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена строгим отбором в сфере количественных финансов, необходимостью прохождения сложного технического тестирования и высокими требованиями к знаниям C++, Python и алгоритмов.

Анализ зарплаты

Медиана6 000 $
Рынок4 500 $ – 8 500 $
Оценка ИИ

Зарплаты стажеров в топовых количественных фондах в Гонконге и Сингапуре значительно выше средних по рынку IT и часто включают компенсацию жилья. Данная позиция соответствует верхнему эшелону компенсаций для интернов в финансовом секторе.

Сопроводительное письмо

I am writing to express my strong interest in the 2026 Technology Internship at Qube Research & Technologies. As a student with a deep passion for high-performance computing and systematic trading, I have closely followed QRT’s reputation for technical excellence and innovation in the quantitative investment space. My background in software engineering and my proficiency in C++ and Python align perfectly with the rigorous technical standards required for your Quant Developer and Software Engineering tracks.

During my academic projects, I have focused on building scalable systems and solving complex algorithmic challenges, which has prepared me for the fast-paced environment at QRT. I am particularly drawn to your collaborative culture and the opportunity to learn from industry-leading professionals while contributing to real-world trading infrastructure. I am eager to bring my analytical mindset and drive for rapid autonomy to your team in Hong Kong or Singapore.

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Откликнитесь в quberesearchandtechnologies уже сейчас

Присоединяйтесь к лидеру количественного трейдинга и начните свою карьеру в QRT уже в 2026 году!

Описание вакансии

Programme duration: from 3 to 6 months, starting in 2026.

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

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.

Quant Developer

As a Quantitative Developer at QRT, you will contribute to the engineering solutions that power our world-class quantitative research and trading, building the tools, platforms, and infrastructure that enable researchers and traders to operate at their best. You will be tackling projects that demand both technical depth and creativity.

Software Engineer

As a Software Engineer, you will operate at the heart of the firm’s trading and investment activities. We design and deliver the platforms, infrastructure, and analytical tools that enable our strategies to perform in the world’s most competitive financial markets. As an intern, you will have the opportunity to join one of several specialist teams and work alongside exceptional engineers, quants, and researchers, contributing to systems that demand the highest standards of performance, reliability, and scalability.

Data

As part of QRT’s data teams, you will work at the heart of our research and trading operations - designing, building, and managing the data solutions that underpin our strategies. You will collaborate closely with Traders, Researchers, and Engineers to ensure our data infrastructure is robust, scalable, and able to power cutting-edge quantitative research. Your work will involve tackling complex challenges in data acquisition, engineering, and platform design.

Infrastructure

As part of QRT's Platform Technology Services, you will join a global group bringing together our SRE, Cloud, Infrastructure, Network Operations, and Security teams. We design, build, and operate the high-performance platforms that power our research, trading, and business operations. We provide the secure, reliable, and scalable foundation that enables QRT to operate at the forefront of global quantitative trading.

FPGA Engineering

As part of QRT's FPGA team, you will design and build ultra-low-latency hardware systems that power QRT’s trading platforms. By developing custom logic directly on cutting-edge FPGA devices, we enable trading strategies to process market data and execute orders with exceptional speed and precision. Working at the intersection of hardware and software, the team uses SystemVerilog, C++, and Python to deliver high-performance, reliable solutions that give QRT a competitive edge in global markets.

Your present skillset

  • Genuine interest in software engineering, infrastructure, or data engineering within a low-latency environment, working in Python, C# or C++
  • Interest to build expertise in high-performance, real-time trading systems
  • Excellent communication and analytical skills - you will interact directly with Traders and Researchers
  • Drive for rapid autonomy and the ability to work in a fast-paced, high-performance setting
  • Rigorous and structured approach to problem-solving

Interview Process:

  • Application - Submit your applications 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

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Навыки

  • C++
  • Python
  • Software Engineering
  • Data Engineering
  • Infrastructure
  • Algorithms
  • High Performance Computing
  • Low Latency
  • SystemVerilog

Возможные вопросы на собеседовании

Для позиций Quant Developer и Software Engineer критически важно понимание управления памятью и производительности.

В чем разница между стеком и кучей, и как выбор структуры данных влияет на кэш-локальность в высокопроизводительных системах?

Проверка навыков написания чистого и эффективного кода.

Реализуйте потокобезопасную очередь (thread-safe queue) на C++ или Python. Какие примитивы синхронизации вы выберете и почему?

Работа в QRT требует понимания специфики финансовых рынков.

Как бы вы спроектировали систему для обработки рыночных данных с минимальной задержкой (low-latency)?

Оценка аналитических способностей.

Представьте, что в вашей системе произошел внезапный скачок задержки (latency spike). Опишите ваш пошаговый процесс поиска и устранения причины.

Проверка мотивации и интереса к индустрии.

Какие последние технологические тренды в области систематического инвестирования вас больше всего интересуют и почему?

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