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2026 Internship/Graduate - Quantitative Technology

Оценка ИИ

Исключительная возможность для студентов попасть в топовый хедж-фонд с мировым именем, отличными перспективами трудоустройства и работой над передовыми технологиями.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена строгим техническим отбором, включая кодинг-тесты и проверку знаний C++, а также спецификой сферы HFT, где требуются глубокие знания архитектуры систем.

Анализ зарплаты

Медиана8 000 A$
Рынок6 000 A$ – 10 000 A$
Оценка ИИ

Для интернов в сфере количественных финансов в Сиднее оплата обычно значительно выше среднего по рынку IT и часто включает компенсацию жилья или релокации. Данная позиция соответствует уровню элитных проп-трейдинговых фирм.

Сопроводительное письмо

I am writing to express my strong interest in the 2026 Quantitative Technology Internship at Qube Research & Technologies. As a student with a deep passion for high-performance computing and low-latency systems, I have closely followed QRT's reputation as a technology-driven leader in the systematic investment space. My academic background has provided me with a solid foundation in C++ and algorithmic problem-solving, which I am eager to apply to the complex challenges of real-time trading infrastructure.

I am particularly drawn to the opportunity to work within the Low Latency or Core Platform teams, where nanoseconds and system reliability are paramount. My experience with concurrent programming and my drive for technical excellence align with QRT's collaborative and high-performance culture. I am confident that my analytical skills and proactive approach to learning will allow me to contribute meaningfully to your production systems while gaining invaluable insights from your world-class engineering team.

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Откликнитесь в quberesearchandtechnologies уже сейчас

Присоединяйтесь к лидерам количественного трейдинга и начните свою карьеру в QRT уже сегодня!

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, or 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.

Software Engineer - Low Latency

As a Software Engineer at QRT, you will work at the core of our low-latency trading systems, building the high-performance infrastructure that underpins our strategies in the world’s most competitive markets. Our engineers design and optimise ultra-low-latency C++ systems across the full stack — from exchange connectivity and market data handling to execution engines and real-time risk. As an intern, you will join a specialist team and collaborate closely with experienced C++ engineers, quants, and researchers.

You’ll contribute to production systems where nanoseconds matter, solving complex concurrency, networking, and performance challenges with a focus on determinism, efficiency, and robustness.

Software Engineer - Core Platform

The Core Platform team plays a critical role within QRT, working closely with traders and risk managers to deliver real-time and end-of-day pricing and risk information across all trading activity. The team is responsible for building and maintaining high-performance systems that support the full trading lifecycle, ensuring accuracy, reliability, and efficiency in a fast-paced environment. With strong visibility across the business, the team collaborates widely and contributes to key decision-making processes.

As part of the team, you will be exposed to complex technical challenges and have the opportunity to learn from experienced engineers while contributing to impactful projects.

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 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
  • Data Engineering
  • Networking
  • Infrastructure
  • FPGA
  • Algorithms
  • Concurrency
  • Low Latency
  • SystemVerilog

Возможные вопросы на собеседовании

Для роли в Low Latency критически важно понимать, как управлять памятью без задержек.

Объясните разницу между стеком и кучей, и почему в системах с низкой задержкой предпочтительно избегать динамического выделения памяти во время работы критического пути?

Проверка навыков написания эффективного и безопасного кода на C++.

Что такое RAII в C++ и как этот паттерн помогает в управлении ресурсами в высоконагруженных системах?

Работа в QRT требует понимания многопоточности.

Что такое состояние гонки (race condition) и какие механизмы синхронизации в C++ вы бы использовали для минимизации накладных расходов?

Проверка алгоритмической базы.

Как бы вы реализовали эффективную очередь сообщений для передачи рыночных данных между потоками с минимальными блокировками?

Оценка интереса к предметной области.

Что вас больше всего привлекает в разработке торговых систем и как вы следите за современными тенденциями в области высокопроизводительных вычислений?

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