Trading Operations Analyst

Qube Research & Technologies

Programme duration: from 5 to 6 months, starting in 2026.    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 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 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.  Examples of potential roles and projects include:  * Quantitative Data Analyst  Source, design, and onboard new datasets in line with priorities set by trading desks. Support data integration into trading systems, propose data-driven solutions to unlock new research opportunities, and manage the full lifecycle of data sourcing projects, from acquisition and exploration to design. Collaborate with Data Engineers to bring datasets into production at scale.  * Data Engineer  Manage extensive datasets across QRT’s research and trading platforms. Design and implement data stores and APIs, monitor the health and performance of data processes, and deliver production-ready datasets. Provide direct support to Researchers and Traders to ensure they can fully leverage the capabilities of our data platform.  * Data Platform Engineer  Build and maintain the large-scale data infrastructure that powers our research environment. Focus on the ingestion, processing, and serving of data for both real-time and batch workflows, ensuring the platform operates with low latency and high availability. Continuously monitor and optimize system performance to handle growing volumes of complex datasets efficiently.    Your present skillset   * Strong core computer science foundations, including algorithms, data structures, parallel programming, and object-oriented programming (OOP).  * Genuine interest in software engineering, infrastructure, or data engineering within a low-latency environment, working in Python. * 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.  Preferred qualifications (a plus):  * Knowledge of databases such as SQL or NoSQL.  * Experience in front-end development.  * Interest in financial markets and/or algorithmic trading.     Interview Process:  * Application - Submit your application 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.

Qube Research & Technologies

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 QRT’s 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. Your future role within QRT * A key member of the global Market Access (MA) team, building and enhancing market access systems for all spectrums of QRT trading business. * You will cover design, development, validation, deployment, and production support of QRT's trading gateways and market data handlers to global exchanges and brokers. * Ownership of exchange upgrades and broker onboardings, including gap analysis, development, and validation/certifications, which may require frequent communications with external exchanges, brokers and third-party providers. * Opportunities to work on low-latency aspects of the MA systems. * You will be exposed to or work on surrounding upstream and downstream systems. * You will be working with almost all teams in QRT, including quantitative analysts/developers, traders, operations, compliance, risk officers in addition to all IT teams. Your present skillset * Minimum 5 years of C++ development on Linux platform. * Python and bash scripting skills essential. * Experience designing and implementing multithreaded and distributed systems. * Experience of exchange trading gateways and/or market data feed handlers. * Experience with FIX trading protocol advantageous. * Good knowledge of financial products desirable. * Experience in low latency optimization and tuning techniques advantageous. * Excellent communication and interpersonal skills essential. * Being a motivated team player, with excellent problem-solving skills. 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.

Qube Research & Technologies

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. This role sits at the intersection of distributed systems, platform engineering, and high-performance computing. You will build and operate the foundational services that quantitative researchers rely on every day, including workload orchestration, scheduling, security, observability, and platform tooling. Your Future Role Within QRT: * Design, build, and operate distributed services that manage compute workloads and data access across large-scale infrastructure * Develop platform APIs and tooling that improve the productivity of quantitative researchers * Improve the reliability, scalability, and performance of compute-intensive research workflows * Build solutions for scheduling, resource management, observability, and security * Partner closely with researchers and infrastructure teams to translate complex requirements into scalable platform capabilities * Take ownership of systems end-to-end, from design and implementation through production operation Your Present Skill Set: * Bachelor's, Master's, or PhD degree in Computer Science or a related field, or equivalent practical experience * 5+ years of experience building and operating large-scale distributed systems in production environments * Strong proficiency in C++, Java, Rust, Go, or other systems programming languages * Deep understanding of distributed systems, concurrency, performance optimization, reliability, and fault tolerance * Experience designing and operating services, platforms, or infrastructure used by other engineers Nice to have: * Experience with internal developer platforms, cloud infrastructure, orchestration systems, or HPC environments * Familiarity with GPU-accelerated workloads and modern ML frameworks such as PyTorch or TensorFlow * Experience supporting researchers, data scientists, or other highly technical users * Exposure to quantitative finance or large-scale data-intensive environments   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.