Qube Research & Technologies jobs

ETF Trader - Asian Markets Sydney Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across asset classes and geographies. We combine data, research, technology, and trading expertise to deliver scalable, research-driven investment strategies. We are building a n ew ETF trading desk in Sydney and are looking for an early hire to help shape its direction. This role sits at the intersection of trading, research, and technology - you will be actively involved in all three, rather than specialising in a single function. On any given day, you may be operating live trading systems and managing risk, developing new pricing models, or improving the infrastructure the desk runs on. As the platform grows, you will play a key role in expanding into new markets and products across Asia-Pacific. Responsibilities - Trade ETFs across Asian exchanges, delivering efficient execution and competitive pricing - Operate and monitor systematic trading strategies across a range of horizons, from HFT to longer-term positioning - Manage FX exposure and correlated risks across ETF and underlying portfolios - Improve and refine existing trading and execution strategies - Research and develop alpha signals using market microstructure, flows, and cross-asset data - Contribute to the design and enhancement of ETF pricing models across asset classes - Build and improve trading infrastructure in collaboration with quantitative researchers and engineers - Identify and capitalise on relative value and arbitrage opportunities - Monitor ETF market structure, listings, and regulatory developments across the region Your Profile -

Senior Software Engineer – Data Platform Hong Kong 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. Your future role at QRT We are looking for an exceptional Software Engineer to be an integral member of the Data Engineering team. We work closely to solve challenging problems that have direct impact on our business and trading. In this role, you will play a key part in designing, building, and expanding our data platform, with a focus on the development of our new data pipeline framework. You will have the opportunity to develop highly scalable and performant solutions, while partnering with various stakeholders within QRT. Prior experience with financial data is beneficial but not necessary; we welcome talented developers without a background in financial services and are happy to provide training and guidance. Your responsibilities will include: - Design, develop, and maintain scalable and robust services following industry best practices - Develop reusable libraries and components for our Data Integration team and researchers - Collaborate with engineers and researchers to shape and implement new framework features - Provide reactive support to users of our services Your present

Senior Infrastructure Support Engineer - AWS Hong Kong 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. As an Infrastructure Support Engineer (AWS), you will play a key role in designing, maintaining, and securing cloud infrastructure to support critical business operations. The team works closely with development teams, DevOps, and system administrators to ensure seamless cloud functionality. Your future role at QRT: - Design and implement custom AWS architectures to enhance the quantitative research and modelling processes of the desk - Troubleshooting and resolving complex technical issues related to AWS infrastructure. - Collaborate with quantitative researchers, developers, and data scientists to understand their needs and translate them into scalable, flexible, and secure cloud solutions - Design and implement custom AWS architectures to enhance the quantitative research and modelling processes of the desk - Develop automation scripts using Terraform, CloudFormation, and other tools to improve cloud management and efficiency. - Work on continuous monitoring and optimizing performance and cost-effectiveness of cloud infrastructure. - Evaluate and recommend new technologies to improve the reliability, scalability, and security of the company's cloud infrastructure Your present skillset: - Troubleshooting should be

HPC Research Platform - Software Engineer Hong Kong 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. Your future role within QRT We are seeking a Software Engineer to join our HPC Research Infrastructure team, responsible for building and evolving an in-house research platform that underpins quantitative research across the firm. The platform provides scalable, secure, and efficient access to high-performance compute and data, enabling researchers to run large-scale, compute-intensive pipelines with minimal friction. In this role, you will design and implement core platform components including APIs, backend services, and tooling to support job submission, scheduling, resource management, security, and observability across heterogeneous compute environments (on-prem and/or cloud). You will operate at the intersection of software engineering, distributed systems, and infrastructure, helping to deliver a robust, developer-friendly platform that enables research at scale and has company-wide impact. Responsibilities - Collaborate closely with quantitative researchers, platform engineers, and other cross-functional teams to understand research workflows and translate them into scalable, reliable platform capabilities - Design, build, and maintain distributed services and APIs that manage compute workloads, data access, and execution lifecycles across HPC environments - Improve the

Quantitative Researcher/Trader Singapore/Hong Kong/Shanghai 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. Your future role within QRT - Your core objective is to create high quality predictive signals - By leveraging access to large and diversified datasets you will identify statistical patterns and opportunities - Share and discuss research results, methodology, data sets and processes with other researchers - Implement the signals and the relevant datasets within the global execution platform - Monitor signal behaviour and model performance over time - You would lead the full strategy research cycle from signal generation to implementation Your present skillset - Direct experience as a quant researcher or trader, or in data science/machine learning space. - Students and fresh graduate applicants will be rejected, please apply our internship/graduate positions instead. - Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering - Strong knowledge in statistics, machine learning, NLP or AI techniques is a plus - Capacity to multi-task in a fast paced environment while keeping strong attention to detail - Coding skills required in at least one leading programing language (Python, R,

Quantitative Researcher – PhD & Postdoc Opportunities London, Paris, Zurich Eligible candidates : Final-year PhD students or postdoctoral researchers 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. Our culture is centred around technology, automation, and industrialized processes. We operate in multiple languages from C++ to Python and embrace open-source software. Your future role within QRT You will join a team of quantitative researchers to learn how to design trading algorithms in a real-world data environment - a fast track to become a seasoned quantitative researcher. Surrounded by peers who have successfully transitioned from academia to applied research, you will receive mentorship from experienced professionals who will help you translate your theoretical expertise into real-world impact. The research environment at QRT is designed to be collaborative and intellectually stimulating. Within one of QRT's systematic teams - spanning high, mid, and low-frequencies - your core objective will be to develop

Data Scientist London 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. We are looking for an exceptional Data Scientist to join the Data Search & Analytics team. In this role, you will work between the Research and Trading desks, and the Engineering team to ensure the successful leveraging of data at the firm. Your future role within QRT This team is integral to the firm's success. As such, your responsibilities will include: - Collaborating with Quantitative Researchers and Traders to design datasets that drive systematic strategies and to inform discretionary trading decisions - Prototyping and designing code to extract, clean, and aggregate data from a wide range of raw sources and formats - Working with Engineers to automate and optimise your code, ensuring robust data extraction processes - Managing the end-to-end process of onboarding new datasets - Proactively solving data related problems to minimise time to production - Innovating and experimenting with novel data extraction methods to enhance the firm's data onboarding toolkit Your present skillset - 3+ years of experience as a Data Scientist (or similar position); experience in a buy-side quantitative finance role

Data Integration Specialist - Python, AWS London 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 - Your core objective will be to collaborate with Researchers and Analyst to onboard data sources and signals through a centralized framework. - You will contribute to the design and maintenance of datasets used for signal generation in trading strategies. - You will also help develop robust data quality checks to enhance monitoring and ensure the longevity of data sources. - Additionally, you will be responsible for integrating alternative datasets and building tools to automate data pipelines for faster and more reliable delivery. - Finally, you will provide support to end users, including Quant Researchers and Traders. Your present skillset - 2+ years' hands-on experience in data engineering - Excellent communication skills and a collaborative mindset to work effectively with other engineers, quants and traders - Strong software engineering fundamentals and proficiency in Python - Experience with workflow orchestration frameworks (e.g. Argo, Airflow) - Experience designing and implementing RESTful APIs and internal service integrations - Experience with observability tools (e.g. Grafana, CloudWatch) - Familiarity with

Python Engineer – Market Microstructure Tooling Wrocław Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a group driven by technology and data, 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. You will work on systems and tooling at the intersection of trading infrastructure and market microstructure. The role focuses on building data pipelines, analytics and libraries that support execution analysis and improve trading performance. You will operate close to the trading stack, working with high resolution datasets and contributing to both research and production systems. Your future role within QRT - Analyse trading behaviour across venues to identify execution inefficiencies and improve latency and fill performance - Develop Python libraries, data pipelines and tooling to process exchange protocols, order flow and large scale trading data - Build analytical frameworks, metrics and monitoring tools to evaluate execution quality and system performance - Contribute to production systems supporting live trading, including data validation, pipeline reliability and real time monitoring - Collaborate with stakeholders to translate analytical insights into measurable improvements in execution performance - Work with research and infrastructure teams to support ongoing development of execution analysis and market behaviour understanding Your present skillset - Degree in Computer Science, Engineering, Mathematics

Production Support Engineer (1-yr Contract) Hong Kong 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. Your future role within QRT You will join the Production Support team in Hong Kong, providing support to QRT's trading and research teams. In this role, you will be responsible for delivering prompt user support, investigating and resolving issues affecting production data, onboarding data extraction processes, and liaising with internal and external teams to ensure the effective day-to-day management of QRT's infrastructure. What you will do: - Provide support for QRT's system infrastructure - Use cloud platforms to create and monitor data jobs and processes - Support data systems and tasks running on Windows & Linux environments - Ensure production and research data systems are stable and available, with all critical data tasks completed before the start of each trading day - Collaborate with production support teams and developers to investigate and resolve issues quickly - Support the release management process ensuring stability of the production environment - Maintenance and support of static databases and supporting processes - Develop monitoring tools to improve visibility, reliability, and automation of processes. -

Software Engineer – Distributed Market Data Systems London 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. Tick Data Platform is a new team building a globally distributed market data architecture. The systems are being developed from the ground up and we're looking for exceptional software engineers to join us in creating scalable and performant data platforms to support quantitative research and trading. Your future role within QRT - Greenfield development in a small and highly collaborative team - Building cloud-native platforms for the distribution and processing of realtime tick data - Architecting high throughput distributed systems with significant horizontal scalability - Working with researchers and data scientists across QRT Your present skillset: - 4 years of software engineering experience - Experience with distributed realtime systems - Systems design and architecture - Ability to write optimised and high throughput code - Communication and teamwork, with an interest in building a strong engineering culture Experience in these is advantageous but not required: - Cloud-native platforms including Kubernetes - Realtime platforms including Kafka - High performance python tooling (numpy, numba, c++ and rust interoperability) - Modern data tooling

DevOps Engineer - Platform Paris 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: As a DevOps Engineer, you will be responsible for designing, building and maintaining scalable and efficient infrastructure for our research and trading systems. You will collaborate closely with our developers and quant researchers to ensure seamless deployment and data flow while improving automation across our environments. Your responsibilities will include: - Designing, implementing and maintaining CI/CD pipelines for automated deployment and testing. - Managing and optimizing AWS cloud infrastructure, with a focus on EKS for container orchestration. - Building and maintaining data pipelines to support real-time and batch processing needs. - Ensuring system reliability, monitoring and performance optimization. - Implementing security best practices across infrastructure and deployments. - Collaborating with development teams to improve automation and system integration. - Working closely with teams across QRT's global offices, including in Europe, London, Hong Kong, Singapore, Dubai and other locations, to ensure seamless collaboration on infrastructure and deployment initiatives. Your Present Skillset: - Strong experience in DevOps & automation, with a focus on cloud and containerized environments. - Expertise

Data Support Specialist New York 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 This team is integral to the firm's success. We are seeking a technically skilled Data Support Engineer to support quantitative researchers and traders in navigating and using extensive datasets. You will support all data users, contribute to documentation, and ensure data quality. - Provide first-line support to researchers and traders for data access ad usage. - Collaborate with data engineers to resolve data issues. - Onboard new hires and train them on using data tools and processes efficiently. - Manage JIRA workflows, track support requests, and ensure timely resolution of data issues. - Contribute to data documentation. - Contribute to extending data coverage (live collection and backfills) Your present skillset - A bachelor's degree in Data Science, Computer Science, Finance, or a related field. - Experience in data support, IT helpdesk, or technical support, ideally within finance. - Strong command of Python and data libraries. - Proficiency with data systems, pipelines, and APIs. - Experience with JIRA or similar project management tools. - Strong problem-solving skills, communication

2026 Graduate - Production Support London Location: London Programme duration: Graduate position Who qualifies : penultimate or final year students completing bachelor's or 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 As part of QRT's Platform Technology Services, you will join a global group bringing

Data Integration Specialist - Core Data Hong Kong 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. Your responsibilities will include: - Your core objective is to manage the multiple and extensive datasets used in the QRT research and trading platform - Contributing to design and implementing QRT data store and its API - Monitoring fetching processes and data health - Integrating alternative datasets - Supporting users (Quants & Traders) Your present skillset: - 2+ years' experience in a related field - Advanced English, both written and verbal communication skills - Strong understanding and experience with Python - Familiarity with SQL and relational databases. - Ability to communicate and understand user needs - Intellectual curiosity to learn new technologies - Capacity to work with autonomy within a global team Good-to-have: - Structured and unstructured data management expertise - Knowledge of the financial data of equity/derivatives - Prior financial data vendors experience - Experience with market data - Intellectual curiosity to learn new technologies - Capacity to work with autonomy within a global team QRT is an equal opportunity employer. We welcome diversity as essential to our

Data Integration Specialist - Python Mumbai 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 - Your core objective is to manage the multiple and extensive dataset used in the QRT research and trading platform - Contributing to design and implementing QRT data store and its API - Monitoring fetching processes and data health - Integrating alternative datasets - Supporting users (Quants & Traders) Your present skillset - 2-10+ years' experience in a related field - Advanced knowledge of Python is a must - C#, Rust, JavaScript nice to have - Previous experience handling and processing large amounts of both structured and unstructured data - Experience using new age technologies like data-lake, data-mesh in cloud - Prior experience in financial assets, market data and it's data vendors is a plus - Intellectual curiosity to learn new technologies to build scalable and robust products - Capacity to work with autonomy within a global team - Advanced English, both written and verbal communication skills required to understand business requirements QRT is an equal opportunity employer. We welcome diversity as essential to our success.

FPGA Engineer Chicago 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: QRT are a rapidly growing hedge fund trading globally in competitive financial markets across Europe, the Middle East and Asia. As part of the next phase of development we are rolling out hardware platforms to accelerate our trading systems. FPGA development will be at the heart of many of these systems with a focus on high frequency trading. We are looking for talented hardware engineers with a track record of achievement in any domain. You may have experience of finance and trading, but it is not essential. You probably enjoy solving complex system problems where hardware and software come together to provide high performance solutions. We are looking for a range of experience from graduates through to senior engineers, so your achievements may be in academia or industry. You will have the opportunity to work with the latest technologies and have your voice heard in this fast paced firm. Working with trading teams you will take ownership of: - Translating trading ideas into the most appropriate solutions - Develop

Software Engineer - Machine Learning Paris 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. As a Software Engineer - ML you will focus on turning research outputs into robust, scalable, and well-operated production systems. You will directly contribute to our engineering platform and automation efforts that accelerate delivery, improve reliability, and raise the quality bar across the ML and research lifecycle. Your future role within QRT: - Collaborate closely with Research and Machine Learning engineers to transition prototypes into production-grade services, jobs, and pipelines. - Design, implement, maintain and support end-to-end research-to-production workflows (data/feature pipelines, training/inference jobs, batch processes, internal tooling). - Build and improve automation around packaging, configuration, and environment reproducibility. - Develop and maintain CI/CD pipelines to enforce code quality, testing, security checks, and smooth deployments. - Contribute to deployment and runtime operations (containers, orchestration, infrastructure integration), ensuring reliability, performance, and maintainability. - Implement monitoring, alerting, and observability (logs/metrics/traces) for production workloads; define operational runbooks and on-call support procedures when needed. - Troubleshoot and resolve integration and production issues, ensuring optimal performance, robustness, and reliability. - Create and maintain detailed documentation of system

Senior Network Automation Engineer Paris 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. The global Infrastructure team designs, builds, and operates QRT's high-performance compute and research environments. The team focuses on automation, scalability, and reliability across datacentres and research platforms, working closely with engineering, storage, and research groups worldwide. Your Future Role within QRT You will help automate all aspects of a growing, cutting-edge datacentre and research platform. You will build tooling, pipelines, and guardrails that turn network intent into safe, repeatable outcomes for QRT's high-performance on-premise datacentre. - Design and evolve the network automation framework (source of truth, templating, validation, change control). - Build idempotent automation to provision and operate data centre fabrics at scale. - Integrate with vendor APIs and SDKs (e.g. Arista EOS, NetQ etc.) - Capture network intent as code, ensuring peer reviews and quality gates. - Instrument the network with telemetry, alerting, and SLOs to drive automated remediation. - Adhere to NetDevOps practices and share knowledge across the team. - Collaborate with network and platform engineers to translate designs into automated workflows. - Deliver frequent, incremental improvements through safe, tested changes. -

2026 Internship/Graduate - Quantitative Research/Trading Hong Kong, Singapore, Shanghai Programme duration: From 3-6 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

2026 - Internship, Data Engineering Paris, London 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,

2026 - Internship, Quantitative Developer London 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,

Cloud Engineer - Crypto London 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. You will join the Cloud Infrastructure team in London. The team designs, builds, and operates cloud platforms that support trading and research workloads, including digital asset and crypto-related systems. The team works closely with development, trading, and operations teams to deliver secure, reliable and scalable cloud solutions. Your Future Role within QRT - Design and implement deployment strategies for applications on AWS in collaboration with development, trading and operations teams - Drive the adoption of CI/CD practices to automate and streamline software delivery - Develop and maintain monitoring solutions to ensure availability, performance and reliability of cloud-based applications - Work with developers to enhance application scalability, reliability and security in cloud environments - Provide operational support and troubleshooting for issues related to cloud deployments and infrastructure - Evaluate and introduce new tools and technologies to improve efficiency of DevOps processes - Act as a liaison between engineering and business teams to facilitate effective communication and collaboration Your Present Skillset - Extensive experience with AWS services and infrastructure (e.g. EC2, S3, VPC and related components)

2026 - Internship, Quantitative Research/Trading Aarhus, Dubai, Geneva, London, Paris, Zurich, Budapest 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