Вакансии

Задачи: — поддерживать ритм проекта: проводить ежедневные встречи (Daily), синхронизировать участников команды. — работать с отчётностью: формировать регулярные отчёты по статусу проектов, отслеживать прогресс и визуализировать результаты. — вести задачи в корпоративном портале «Сфера»: администрировать задачи и управлять жизненным циклом заявок внутри платформы. Требования: — базовое понимание методологий управления проектами: Agile, Scrum (знакомы понятия Sprint, Backlog, Daily, Retrospective). — базовый опыт работы с любым таск-трекером: Jira, YouTrack, Bitrix24, Trello или аналоги. — умение структурировать информацию, работать с текстом, готовить базовую отчётность и презентации (MS PowerPoint / Google Slides). — интерес к технологиям: базовое понимание принципов работы ИИ и нейросетей, желание применять инструменты автоматизации для рутинных задач. — проактивность, коммуникабельность, ответственность за результат и соблюдение дедлайнов. Будет плюсом: — опыт в студенческих организациях, волонтёрстве или стажировках, связанных с организацией процессов. — на стажировку рассматриваем студентов из любых ВУЗов, любой формы обучения, включая заочную, включая магистратуру.

Приглашаем на оплачиваемую стажировку во фронтенд-разработке. Это возможность поработать над реальными продуктами в команде под руководством опытных разработчиков и вырасти до самостоятельного специалиста. В зависимости от твоего профиля стажировка проходит по одному из треков: Enterprise-разработка (системы послепродажного обслуживания). Внутренний корпоративный портал сотрудников. R&D-центр (AI и агентные решения). Чем предстоит заниматься: — разрабатывать клиентскую часть веб-приложений и настраивать взаимодействие с REST API — верстать и реализовывать интерфейсы под реальные бизнес-задачи — работать с Git в командной разработке — разбираться во внутренних механизмах технологий и оптимизировать производительность Чего мы ждем от тебя: — уверенное знание основ JavaScript / TypeScript: асинхронное программирование, навыки написания чистого поддерживаемого кода — базовый опыт с Vue.js или React (компоненты, пропсы, управление состоянием) — HTML5 и CSS3: адаптивная и кроссбраузерная вёрстка — понимание работы REST API, формат JSON — базовые навыки работы с Git — аналитическое мышление, желание разбираться, как всё устроено внутри На стажировку рассматриваем студентов из любых ВУЗов, любой формы обучения, включая заочную, включая магистратуру.

О компании и команде Расскажите, почему классно работать именно в вашей компании, в том проекте и в той команде, в которую вы ищете сотрудника. Простота, честность и конкретика всегда работают лучше общих фраз. Ожидания от кандидата Опишите вашего идеального кандидата: его или ее знания, хард- и софт-скиллы, образование, опыт работы, другие важные для вас моменты. Условия работы Расскажите про график работы, возможность удаленки, соцпакет, бургеры по пятницам или корпоративный спортзал. Бонусы Расскажите, какие материальные или нематериальные бонусы к зарплате есть в вашей компании: премии, скидки, опционы, акции, возмещение оплаты за обучение и другое. Дополнительные инструкции Расскажите здесь, что еще кандидату нужно знать перед тем, как откликнуться на вакансию. Например, сколько будет собеседований, есть ли тестовое задание (и предполагается ли его оплата).

Ищем стажера машинного обучения - ML Engineer с небольшим опытом работы или со студенческими проектами в данной отрасли. Требуется прислать резюме для отклика на вакансию.

Условия: Удаленно на время стажировки (срок — 2-3 месяца), далее гибрид/офис в Москве. Кого мы ищем: – техническое образование или опыт в IT/смежной сфере (тестирование, разработка и т.д.); – базовое понимание SQL и BPMN или желание разобраться; – Москва или готовность переехать при получении релевантного оффера; – готовность работать в офисе после стажировки (как минимум, в период испытательного срока); – у мужчин — приписное/военный билет; – коммуникабельность, логика, здравый интерес к продуктам и бизнесу. Вилка после стажировки 170 000 ₽ – 230 000 ₽

Задачи: — Решение поступающих запросов. — Консультации в пределах пользовательских инструкций. — Использование базы "Типовых запросов и ответов". — Решение вопросов Заказчиков, имеющих низкий приоритет. Требования: — Высшее/неоконченное образование. — Умение работать с большими объемами информации. — Аналитическое мышление. — Продвинутый пользователь MS Office (Word, Excel, Outlook). — Будет плюсом наличие опыта работы в поддержке, разработке или тестировании систем. Условия: — Стабильный доход на уровне рынка. — Комфортный офис с кофемашиной, массажным креслом, настольными играми, спортзалом, зоной отдыха, PlayStation. — Сильная команда экспертов. — Личный наставник, помогающий погрузиться в проект.

Задачи: — участие в создании цифровой экосистемы для москвичей и гостей столицы Требования: — молодые специалисты Условия: — оплачиваемая стажировка — удобный формат работы — официальное трудоустройство — возможность трудоустроиться в штат Московского транспорта по итогам стажировки

Location: Hawkinsville, United States About the Internship: CKH Group is on the lookout for curious, number-savvy accounting graduates ready to kickstart their careers (and finally put those spreadsheets to good use). Our paid internship offers hands-on exposure to real-world accounting and business processes in an international professional environment. You’ll work side-by-side with experienced professionals, contribute to meaningful projects, and see how the numbers actually drive business decisions. Along the way, you’ll sharpen your technical accounting skills, build confidence in a team setting, and develop the soft skills every great accountant needs. If you’re motivated, detail-oriented, and eager to learn, this internship is your chance to turn theory into practice—and start building a career that adds up. Key Responsibilities: Support day-to-day accounting and finance tasks that help keep the business running smoothly Assist with preparing basic financial documents and reports under guidance from the team Work with accounting software and Excel to enter, organize, and review data Learn how to collaborate with colleagues in a professional finance team environment Follow simple accounting processes and company guidelines, with training and support provided Help with ongoing tasks and small projects, gaining exposure to real-world accounting work Who we are looking for: Students or recent graduates with a strong interest in professional development Willingness to learn and take responsibility Good organizational skills and attention to detail Ability to work independently and as part of a team Basic knowledge of Microsoft Office tools, including basic to Intermediate Excel English communication skills suitable for a professional setting What CKH Group Offers: Exposure to a global and multicultural organization Hands-on experience in a professional business environment Supportive team and learning-focused culture Opportunity to build a strong foundation for future career growth Why is CKH the best choice? CKH is a boutique accounting & financial services firm that provides local expertise aided by global experience. We have presence in Atlanta, South Africa, Ukraine, Poland, Azerbaijan, Spain and Greece. Our tree logo is representative of CKH’s ideals: The roots of the tree remind us to stay grounded and humble. The trunk represents the support we have for each other, making our team strong. But we also like to shake the tree! Churning up new ideas and positive change as the world around us grows. The fruit our tree grows reminds us to never stop growing, producing the best quality service for our clients. The treetop helps us reach higher, always stretching to new heights and goals.

Location: Paris, London Programme duration: from 5 to 6 months, starting in 2027. Who qualifies: Penultimate or final year students completing a Bachelor's, Master's. Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes and markets worldwide. Our approach to investing is scientific: we bring together data, research, technology and trading expertise to develop and run systematic strategies. Technology and data are central to how QRT works. Over the years, we have built a global research and execution platform spanning geographies, asset classes and trading horizons, from ultra-low-latency systems to large-scale research, analytics and data infrastructure. We invest heavily in engineering, automation and scalable systems because better technology allows us to test ideas faster, operate more reliably and tackle harder problems. Our internships are designed to give students meaningful experience of that work. You’ll join a team, contribute to real projects and work alongside engineers, researchers and traders on problems that matter to our research and trading activities. The environment is technical and collaborative, with plenty of scope to ask questions, test ideas and take ownership Your future role at QRT As part of QRT’s data teams, you’ll work on the systems and datasets behind quantitative research and trading. You’ll collaborate closely with traders, researchers and engineers, tackling problems across data acquisition, engineering and platform design. Throughout the recruitment process, we’ll consider your skills and interests alongside the problems our teams are working on. Depending on the strongest fit, your internship may focus on one of the following areas: Quantitative Data Analyst – Source and evaluate new datasets based on priorities from our trading desks. You’ll explore how new data can support research, manage sourcing projects from acquisition through to design, and work with Data Engineers to bring useful datasets into production at scale. Data Engineer – Work with large datasets across QRT’s research and trading platforms. You’ll design and implement data stores and APIs, monitor data processes and build production-ready datasets that researchers and traders can use effectively. Data Platform Engineer – Build and maintain the infrastructure used to ingest, process and serve data across our research environment. You’ll work on real-time and batch workflows, with a focus on reliability, latency and efficiently handling growing volumes of complex data. Your present skillset Computer science foundations – A good grounding in areas such as algorithms, data structures, parallel programming and object-oriented programming. Programming – Experience with Python and an interest in using software to solve data or infrastructure problems. Engineering interests – An interest in software engineering, infrastructure or data engineering, particularly where performance and reliability matter. Systems – Curious about high-performance, real-time systems and interested in developing a deeper understanding of how they support trading. Problem solving – A rigorous, structured approach to analysing unfamiliar problems and working towards practical solutions. Communication – Able to communicate clearly and collaborate directly with researchers, traders and engineers. Approach – Self-motivated and keen to develop autonomy as you learn. Preferred qualifications (a plus): Knowledge of SQL or NoSQL databases. Experience with front-end development. An interest in financial markets and/or algorithmic trading. Interviewing Application – Submit your application online. We review applications on a rolling basis. Technical Assessment – Selected candidates will complete a coding challenge focused on core programming and problem-solving skills. Interviews – Shortlisted candidates will take part in interviews, either on-site or via Microsoft Teams. We’ll explore your technical foundations, how you approach unfamiliar problems and how you work with others. 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.

Требуется стажер системный администратор в офисе в Москве. Требования: — навыки администрирования Windows — навыки системного администрирования

Задачи: — Подготовка рабочих мест: сборка/апгрейд по заявке, установка ОС (Windows, macOS, Linux), драйверов, корпоративного ПО, антивируса, проверка стабильности работы; — Подключение и настройка принтеров, МФУ, сканеров; — Диагностика и устранение простых «железных» проблем: не включается ПК, не видит сеть/принтер, проблемы с мониторами, кабелями, блоками питания; — Участие в инвентаризации IT‑активов, перемещение оборудования между кабинетами/этажами, организация временных рабочих мест; — Поддержка пользователей и документирование, регистрация и обработка обращений в Service Desk; — Взаимодействие с HR-командой по вопросам выходов новых сотрудников, приемка оборудования удаленных сотрудников. Требования: — Студент 2–4 курса или оконченное высшее образование (IT, информационные системы, связь, прикладная информатика, смежные направления); — Уверенная работа с ПК/ноутбуками: установка/переустановка Windows, драйверов, базовая диагностика (POST, BIOS/UEFI, загрузочные носители); — Понимание устройства ПК: CPU, RAM, SSD/HDD, видеокарта, БП, охлаждение; умение аккуратно подключить/заменить компоненты по инструкции; — Работа с периферией: принтеры, МФУ, сканеры, веб‑камеры, гарнитуры, док‑станции, мониторы, ИБП; — Грамотная речь, умение понятно объяснить пользователю, что сделано и что дальше; — Опрятность, аккуратность при работе с техникой и в офисе. Будет плюсом: — Опыт самостоятельной сборки/апгрейда ПК, работы в сервисе/магазине техники; — Базовые навыки PowerShell/CMD для типовых задач (сбор информации о железе); — Понимание основ Active Directory: создание пользователей, сброс паролей, группы безопасности; — Интерес к автоматизации рутины (скрипты, шаблоны, чек‑листы). Условия: — Официальное оформление и стабильный прозрачный доход; — Формат работы – офисный (Мурманский проезд 14/1); — Возможность остаться в штате после стажировки (6 месяцев); — Обучение: корпоративный университет, электронная библиотека МИФ, вебинары с экспертами, центр карьерного консультирования; — Профильное обучение и сертификация; — Сообщества: школа спикеров, дебат клуб, писатели Хабр, киберспорт; — Спорт: футбольный, волейбольный и баскетбольный клубы.

Location: Aarhus, Budapest, Dubai, London, Paris, Zurich Programmes offered: Final-year internship, penultimate-year internship, some permanent opportunities Programme duration: 4–6 months, starting in 2027 Locations: Aarhus, Budapest, Dubai, Geneva, London, Paris, Zurich Who qualifies: Penultimate or final-year students completing a bachelor’s, master’s or PhD degree Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes and markets worldwide. Our approach to investing is scientific: we bring together data, research, technology and trading expertise to develop and run systematic strategies. Research is central to how QRT invests. Over the years, we have built a global research and execution platform spanning geographies, asset classes and trading horizons, from high to low frequency. This gives our researchers access to large and diverse datasets, sophisticated research tools and the infrastructure needed to turn research ideas into live trading strategies. Our internships are designed to give students meaningful experience of that process. You’ll join a systematic team, work on real research or trading problems and learn from experienced researchers and traders. The environment is rigorous and collaborative: ideas are tested against data, assumptions are challenged and good questions matter as much as quick answers. Your future role at QRT Throughout the recruitment process, we’ll consider your skills and interests alongside the problems our teams are working on, with the aim of finding the strongest fit. 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 focus will be on developing predictive signals from large and varied datasets. You’ll explore the data for patterns and form hypotheses about what might be driving them. From there, research is iterative: you’ll design tests, question the results, adjust your approach and test again. Working with other researchers, you’ll learn to distinguish promising signals from noise. In doing so, you’ll experience the full research process, from an initial observation to something that can be used in live trading. Trading You’ll contribute to the live deployment of QRT’s research by working directly with our systematic trading platform. You’ll monitor how signals behave in production, track performance, improve execution efficiency and help identify and manage potential risks. Working closely with senior Researchers and Traders you’ll investigate how strategies behave in production and look for ways to make them more robust and scalable. You’ll use quantitative analysis and programming to understand what is happening in live systems and determine where improvements can be made. Across both areas, how you approach a problem matter. We’re looking for interns who are curious, creative and collaborative. You should be comfortable exploring ideas, asking questions and learning as you go. Your present skillset Academic background – Pursuing an advanced degree in a quantitative field such as Data Science, Statistics, Mathematics, Physics or Engineering. Quantitative foundations – Strong analytical skills and an interest in using mathematics, statistics and computation to understand complex problems. Programming – Coding experience in at least one leading programming language, including Python, C++ or C#. Research interests – Knowledge of statistics, machine learning, NLP or AI techniques is useful but not essential. Data – Experience exploring large datasets across multiple time horizons is a plus. Problem solving – Able to work through complex problems rigorously while maintaining strong attention to detail. Independence and collaboration – Comfortable working autonomously while exchanging ideas and working closely with colleagues from different disciplines and backgrounds. Communication – Able to explain your reasoning and communicate technical ideas clearly. Languages – Fluent in English; additional languages are a plus. Interviewing Apply Online – Submit your application online. Applications are reviewed on a rolling basis by our Talent Acquisition team. We read applications carefully, so thoughtful answers that explain your interests and motivations are useful. Technical Assessment – Selected candidates will complete a coding challenge focused on core programming and problem-solving skills . Interviews – Shortlisted candidates will take part in interviews, either on-site or via Microsoft Teams. We’ll explore your quantitative and technical thinking, how you approach unfamiliar problems and how you work with others. We also encourage candidates to take part in one of our Data Challenges . These are an opportunity to work on problems relevant to quantitative research and demonstrate your analytical and technical approach. Strong performance may lead to direct follow-up from our team: 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.

Location: London, Paris, New York 2027 – Internship or Graduate, FPGA Engineering Programmes offered: Final-year internship, penultimate-year internship, some permanent opportunities Location: London Programme duration: 3–6 months, or full-time graduate, starting in 2027 Who qualifies: Penultimate or final-year students completing a bachelor’s or master’s degree Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes and markets worldwide. Our approach to investing is scientific: we bring together data, research, technology and trading expertise to develop and run systematic strategies. Technology is central to how QRT works. Over the years, we have built a global research and execution platform spanning geographies, asset classes and trading horizons, from ultra-low-latency systems to large-scale research, analytics and risk infrastructure. We invest heavily in engineering, automation and scalable systems because better technology allows us to test ideas faster, operate more reliably and tackle harder problems. Our internships are designed to give students meaningful experience of that work. You’ll join a team, contribute to real projects and learn from engineers, researchers and traders working on live problems. The environment is technical, collaborative and demanding, with plenty of scope to ask questions, test ideas and take ownership. Strong performance during the internship may lead to consideration for a full-time graduate role. Your future role at QRT Throughout the recruitment process, we’ll consider your skills and interests alongside the problems our teams are working on, with the aim of finding the strongest fit. QRT’s FPGA team builds ultra-low-latency hardware for our trading systems. By implementing custom logic directly on FPGA devices, the team can process market data and execute orders with tight control over latency, throughput and system behaviour. The work sits at the boundary between hardware and software. We use SystemVerilog, C++ and Python to design, verify and integrate FPGA systems into our wider trading infrastructure. The problems are technically demanding: small design decisions can have measurable consequences, and performance needs to come with reliability. As an intern or graduate in the FPGA team, you will: Build production FPGA systems – Contribute to the design, development and optimisation of FPGA-based platforms used in live trading. Work across hardware and software – Use SystemVerilog, C++ and Python to build, test and refine high-performance, low-latency systems. Develop and verify new functionality – Implement FPGA features that improve how our systems process market data and execute orders, and build the tests needed to verify them. Integrate systems – Work with hardware and software engineers to connect FPGA components with QRT’s broader trading infrastructure. Analyse performance – Debug and profile designs, investigating latency, resource utilisation and other constraints to understand where improvements can be made. Work with modern FPGA technology – Gain hands-on experience with FPGA hardware, development tools and verification workflows used in low-latency trading. Explore new approaches – Contribute to research and development aimed at improving the performance and capabilities of our FPGA systems. Your present skillset Interest in technology: You enjoy understanding how systems work and have explored that interest through software or hardware projects, whether academic, personal or hobby-based. Formal Computer Science training is not essential. HDL experience: Experience or coursework using an HDL such as SystemVerilog, Verilog or VHDL. Programming: Experience with C++ and/or Python. Technical foundations: An understanding of digital logic design, computer architecture and high-speed interfaces. FPGA tools: Familiarity with FPGA development toolchains such as Xilinx Vivado or Intel Quartus is useful, but not essential. Problem solving: You can reason through technical problems methodically, troubleshoot designs and think about trade-offs between performance, resource utilisation and power efficiency. Mindset: Curious, proactive and comfortable asking questions. You look for opportunities to understand systems more deeply and improve how they perform. Approach: Self-motivated, thoughtful and comfortable taking ownership of a problem. Interviewing Application – Submit your application online. We review applications on a rolling basis, so applying early is recommended. Technical Assessment – Selected candidates will complete a technical interview with the relevant team . Interviews – Shortlisted candidates will take part in interviews, either on-site or via Microsoft Teams. We’ll explore your technical foundations, how you reason through engineering problems and how you work with others. 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.

Location: London, Paris EMEA 2027 – Graduate or Internship, Infrastructure Engineer Location: London, Paris Programme duration: 3–6-month internship, 12-month industrial placement or graduate position Who qualifies: Penultimate or final-year students completing a bachelor’s or master’s degree Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes and markets worldwide. Our approach to investing is scientific: we bring together data, research, technology and trading expertise to develop and run systematic strategies. Technology is central to how QRT works. Over the years, we have built a global research and execution platform spanning geographies, asset classes and trading horizons, from ultra-low-latency systems to large-scale research, analytics, and risk infrastructure. We invest heavily in engineering, automation, and scalable systems because better technology allows us to test ideas faster, operate more reliably, and tackle harder problems. Our internships are designed to give students meaningful experience of that work. You’ll join a team, contribute to real projects, and learn from engineers, researchers, and traders working on live problems. The environment is technical and collaborative, with plenty of scope to ask questions, explore different approaches, and take ownership. Strong performance during the internship may lead to consideration for a full-time graduate role. Your future role at QRT As part of QRT’s Infrastructure group, you’ll help build and operate the systems behind our research, trading and business activities. The work spans hardware, operating systems, compute, storage, networking and platform engineering, with a common focus on performance, reliability and automation. Throughout the recruitment process, we’ll consider your skills and interests alongside the problems our teams are working on. Depending on the strongest fit, your internship may focus on one of the following areas: Infrastructure The Infrastructure team looks after the on-premise hardware and operating systems behind our production trading environment. The work goes well beyond keeping systems running: engineers measure and optimise hardware performance, investigate Linux internals and tune systems where small changes can make a meaningful difference. You’ll develop a detailed understanding of how hardware and software interact and how to make production systems faster, more stable and more predictable. Research Infrastructure Research Infrastructure builds and operates the high-performance compute, networking and storage systems behind QRT’s research. These systems support large-scale data processing, advanced analytics and machine learning and AI workloads using technologies such as PyTorch. The team works closely with researchers to understand what their workloads need and design infrastructure that can meet those demands efficiently. The aim is simple: give researchers reliable, scalable compute so they can spend more time on research and less time thinking about the infrastructure underneath it. HPC Storage The HPC Storage team builds and operates the high-performance storage infrastructure behind large-scale research and computing workloads across QRT. The problems involve moving and serving large volumes of data reliably, securely and quickly enough to support demanding simulations and analyses. You’ll work with enterprise-scale storage technologies and collaborate with engineers, researchers and technology vendors. It’s an opportunity to understand storage at scale, from the underlying architecture and performance characteristics to the way researchers and compute systems interact with it. Network Operations Network Operations is responsible for the availability, reliability and security of QRT’s global network, connecting the systems behind our research and trading activities. The team investigates incidents, develops observability tooling and builds automation to make operating the network more reliable and efficient. Alongside day-to-day operations, the team works on the infrastructure needed for high-performance compute and low-latency trading. This means understanding how networks behave in practice, finding the source of difficult problems and looking for ways to make systems simpler to operate and easier to observe. DevOps (London & Paris, open to penultimate students) Platform Engineering builds and automates the infrastructure, tools and workflows behind QRT’s research and trading platforms. Working across cloud and on-premise environments, the team brings together DevOps, cloud, networking, security, infrastructure and software engineering. You’ll work on the systems that allow researchers and developers to build, deploy and operate technology efficiently at scale. That could mean improving deployment workflows, automating infrastructure or finding better ways to make complex systems reliable and repeatable. SRE (London & Paris) Site Reliability Engineering sits at the intersection of software engineering, quantitative research and trading. Working closely with researchers and traders, the team builds reliable, high-performance systems and develops tooling and automation for deployment, monitoring, operations and incident response. The work combines software engineering with an interest in how systems behave in production. You’ll investigate technical problems, improve observability and help design systems that remain resilient as they scale, while developing an understanding of the quantitative workflows they support. Your current skillset Eligibility – Penultimate or final-year students pursuing a Bachelor’s, Master’s in a STEM discipline, such as Computer Science, Information Technology, Networks or a related subject, on track for a 2:1 or above. Interest in technology – We’re interested in what you’ve explored and built, whether through hobbies, personal projects, academic work or open-source contributions. Technical skills – You don’t need experience with everything below. Depending on the team, relevant knowledge and experience may include: Programming or scripting in languages such as Python or Bash. Tools such as Git, SQL and GCC. Confidence working from the Linux command line, including familiarity with Linux/Unix system administration fundamentals. An understanding of storage concepts such as RAID, erasure coding, file systems and networking protocols. Knowledge of networking concepts including TCP/IP and Ethernet. Experience with monitoring and observability tools such as Grafana, Prometheus and PromQL. Hands-on experimentation with Linux, such as building Linux systems on laptops or Raspberry Pis or working with custom Android installations, particularly for on-premise Infrastructure roles. Mindset – Curious about how systems work and comfortable getting into the detail when something doesn’t behave as expected. You approach problems methodically, ask questions and look for practical ways to improve performance or reliability. Approach – Self-motivated, collaborative and comfortable taking ownership of a technical problem. Interviewing Application – Submit your application online. We review applications on a rolling basis, so applying early is recommended. Technical Assessment – Selected candidates will complete a coding challenge focused on core programming and problem-solving skills. Assessment Centre / Online Interviews – Shortlisted candidates will take part in interviews, either on-site at an assessment centre or via Microsoft Teams. We’ll explore your technical thinking, how you approach unfamiliar problems and how you work with others. 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.

Location: London, Paris, New York 2027 Internship – Security Engineer Programmes offered: Final-year internship, penultimate-year internship Location: London, Paris, New York Programme duration: 6-month internship or 12-month industrial placement, starting in 2027 Who qualifies: Penultimate or final-year students completing a bachelor’s or master’s degree Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes and markets worldwide. Our approach to investing is scientific: we bring together data, research, technology and trading expertise to develop and run systematic strategies. Technology is central to how QRT works. Over the years, we have built a global research and execution platform spanning geographies, asset classes and trading horizons, from ultra-low-latency systems to large-scale research, analytics and risk infrastructure. We invest heavily in engineering, automation and scalable systems because better technology allows us to test ideas faster, operate more reliably and tackle harder problems. Our internships are designed to give students meaningful experience of that work. You’ll join a team, contribute to real projects and learn from engineers working on production systems. The environment is technical and collaborative, with plenty of scope to ask questions, investigate unfamiliar problems and take ownership. Strong performance during the internship may lead to consideration for a full-time graduate role. Your future role at QRT Throughout the recruitment process, we’ll consider your skills and interests alongside the problems our teams are working on, with the aim of finding the strongest fit. As part of QRT’s Security team, you’ll help protect the systems, data and infrastructure behind our global research and trading activities. You’ll work closely with our Cloud, Infrastructure and Network Operations teams to design and implement security controls across a complex, high-performance technology environment. The team works across security engineering, detection and response, vulnerability management and security assurance. Rather than treating security as a separate layer, we work directly with engineering teams to understand how systems behave, identify weaknesses and build practical ways to prevent, detect and respond to threats. As an intern, you’ll contribute to real security problems and have opportunities to build tooling, investigate emerging attack techniques and improve how we automate security work at scale. Your current skillset Eligibility – Penultimate or final-year students pursuing a Bachelor’s, Master’s in a STEM discipline, such as Cyber Security, Informatics, Computing or a related subject, on track for a 2:1 or above. Interest in technology – We’re interested in what you’ve explored and built, whether through hobbies, personal projects, academic work or open-source contributions. Technical skills – You don’t need experience with everything below. Examples of relevant knowledge and experience include: An understanding of security principles and technologies such as firewalls, IDS/IPS, vulnerability scanning, password management, encryption and secure coding practices. Programming or scripting experience, particularly with Python or Bash. Confidence working from the Linux command line, including familiarity with Linux/Unix system administration fundamentals. An understanding of networking concepts, including TCP/IP and Ethernet. Experience with monitoring and observability tools such as Grafana, Prometheus and PromQL. Examples of the projects you may work on include: Triage agent development – Use MCP servers to build and improve a triage agent that supports cyber-security investigations. Detection engineering – Reproduce emerging attack techniques in segregated lab environments and test how effectively our detection systems identify them. Security assurance – Contribute to vulnerability research, security reviews and remediation testing, working with security and engineering teams to understand and address weaknesses. Security automation – Build tools and automation that make security assurance more scalable, consistent and effective. Mindset – Curious, proactive and comfortable asking questions. You’re willing to investigate unfamiliar systems, follow evidence and challenge assumptions when something doesn’t look right. Approach – Self-motivated, thoughtful and comfortable taking ownership of a problem. Interviewing Apply Online – Submit your application online. We review applications on a rolling basis, so applying early is recommended. Technical Assessment – Selected candidates will complete a technical interview with the relevant team . Assessment Centre / Online Interviews – Shortlisted candidates will take part in interviews, either on-site or via Microsoft Teams. We’ll explore your technical thinking, how you approach unfamiliar problems and how you work with others. 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.

Location: London, Paris, Wrocław, Zurich, Dubai, Aarhus, Amsterdam Programmes offered: Final-year internship, penultimate-year internship Location: London, Paris , Wrocław, Zurich, Dubai, Aarhus, Amsterdam Programme duration: 3–6 months or 12-month industrial placement , starting in 2027 Who qualifies: Penultimate or final-year students completing a bachelor’s or master’s degree Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes and markets worldwide. Our approach to investing is scientific: we bring together data, research, technology and trading expertise to develop and run systematic strategies. Technology is central to how QRT works. Over the years, we have built a global research and execution platform spanning geographies, asset classes and trading horizons, from ultra-low-latency systems to large-scale research, analytics and risk infrastructure. We invest heavily in engineering, automation and scalable systems because better technology allows us to test ideas faster, operate more reliably and tackle harder problems. Our internships are designed to give students meaningful experience of that work. You’ll join a team, contribute to real projects and learn from engineers, researchers and traders working on live problems. The environment is technical, collaborative and demanding, with plenty of scope to ask questions, test ideas and take ownership. Strong performance during the internship may lead to consideration for a full-time graduate role. Your future role at QRT As a Technology Intern, you’ll help build the systems, platforms and tools behind QRT’s research, trading and investment activities. You’ll work alongside experienced engineers, quantitative developers, researchers and traders, contributing to production technology and solving problems where performance, reliability and good engineering judgement matter. Depending on your interests and strengths, you may join one of two Technology disciplines. Software Engineer (London , Wrocław, Zurich ) Software Engineers build the technology that underpins QRT’s trading and investment activities. This includes the platforms and infrastructure that connect us to global markets, brokers and data providers, as well as the systems used for order generation, execution, analytics, risk management and P&L reporting. The engineering problems vary considerably in scale and shape. At one end, we build ultra-low-latency execution technology where small improvements can matter. At the other, we develop global, cross-asset platforms that need to process large volumes of data reliably and make complex information accessible to users across the firm. As an intern, you’ll work with experienced engineers, quantitative developers and researchers on a defined technical problem. You’ll be expected to understand the problem properly, make sensible engineering choices and build something useful. Examples of projects you may work on include: AI-Powered Static Analysis – Build a tool combining static analysis and large language models to identify double-deletion and memory-management issues in our public API. Exchange Simulator Advanced Order Support – Extend our Exchange Simulator to support market orders, time-in-force instructions and algorithmic orders, making strategy testing more representative of live trading. Risk Data Platform – Extend our risk data platform to provide the data required to support trading in a new trade type. Lightweight Trading UI – Create a lightweight trading interface with order entry, live market and position views, and clear visualisation of trading activity. Quantitative Developer (London, Paris, Wrocław, Dubai, Aarhus, Amsterdam) Quantitative Developers work at the intersection of research, trading and engineering. Sitting close to the trading desk, they work directly with researchers and traders to build the technology needed to explore ideas, analyse markets and run strategies in production. The role combines strong software engineering with an understanding of how technology can make quantitative research and trading more effective. That might mean building high-performance execution systems, improving research infrastructure, developing machine learning platforms or creating tools that make complex data easier to work with. You’ll work on live technical problems where performance, reliability and iteration speed all matter. It’s a collaborative role with direct exposure to quantitative research, financial markets and production trading systems. Examples of projects you may work on include: Real-Time Trading Systems – Build high-performance C++ systems for real-time trading, contributing to low-latency infrastructure and execution technology where every microsecond can matter. Quantitative Research Platforms – Help develop the platforms used for quantitative research across QRT, including machine learning systems and data pipelines that allow researchers to test and scale ideas efficiently. Research and Trading Tools – Design tools that simplify workflows, improve access to data and make complex information easier to understand through effective visualisation. You’ll work directly with traders, researchers and risk teams to understand their problems and build practical solutions. Your current skillset Eligibility: Penultimate or final-year students pursuing a Bachelor’s, Master’s in a STEM discipline, such as Computer Science, Physics, Mathematics or a related Engineering subject, on track for a 2:1 or above from a leading institution. Interest in technology: You enjoy solving technical problems and are curious about how systems work. You’re interested in building things, not just studying them. Software engineering experience: We value hands-on experience wherever you gained it — through personal projects, open-source contributions, hobbies, internships or academic work. Programming: Proficiency in C++, C# or Python. Tools: Familiarity with scripting languages such as Python or Bash, and tools and technologies including Git, SQL, GCC and Linux. Mindset: Curious, proactive and comfortable asking questions. You look for ways to make systems simpler, faster or more reliable and can turn those observations into practical improvements. Approach: Self-motivated, thoughtful and comfortable taking ownership of a problem. Interviewing Application – Submit your application online. We review applications on a rolling basis, so applying early is recommended. Technical Assessment – Selected candidates will complete a coding challenge focused on core programming and problem-solving skills. Assessment Centre / Online Interviews – Shortlisted candidates will take part in interviews, either on-site at an assessment centre or via Microsoft Teams. We’ll explore your technical thinking, how you approach unfamiliar problems and how you work with others. 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.

Требования: - Студент 2–5 курса по IT-направлениям - Знание английского языка - Внимательность и настойчивость - Опыт работы в IT до года - Навыки работы с MS Office - Хорошие коммуникативные навыки - Умение работать в команде и проявлять инициативу - Самоорганизация и желание учиться новому Обязанности: - Оптимизация справочника материалов для пользователей из разных стран - Поддержка справочника в дальнейшем - Консультации по возникающим вопросам Условия: — ДМС и бесплатные консультации 24/7 — Возможность отсрочки от армии — Льготная программа в магазинах и у партнеров — Гибкий график работы — Помощь с дипломной работой

Задачи: — участие в разработке IT-продукта; — автоматизация бизнес-процессов с использованием AI-инструментов; — участие в разработке и настройке AI-агентов; — работа с API и интеграциями различных сервисов; — тестирование и улучшение разработанных решений; — анализ существующих процессов и поиск возможностей для их автоматизации; — подготовка технической документации; — участие в командной работе над проектом. Условия: — участие в реальном IT-проекте с практическим применением искусственного интеллекта; — возможность получить опыт разработки и внедрения AI-решений; — работу с современными технологиями автоматизации; — поддержку и взаимодействие с командой проекта; — возможность профессионального роста и дальнейшего сотрудничества по результатам стажировки.