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Location: London 2027 - Internship, Surveillance Programmes offered: Final-year internship, penultimate-year internship Location: London 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. Central functions underpin QRT’s global investment business, providing the expertise, infrastructure and operational support essential to our research, trading and technology teams. Working in close partnership with colleagues across the firm, these teams manage core business processes, maintain effective controls and ensure the business has the resources and support it needs to operate efficiently. Their work helps QRT navigate the demands of a complex global organisation, meet its obligations and build the foundations for continued growth. 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 will work to align your skills, interests, and potential with the teams where you can make the greatest impact. As a Surveillance Intern, you will join QRT’s Compliance department in London and gain practical experience monitoring trading activity across global markets. You will work closely with Compliance Advisory, Risk, Trading and Technology teams to help identify potential market abuse or disorderly trading, improve surveillance processes and support QRT’s regulatory obligations. You may contribute to activities including: Reviewing trade surveillance alerts and helping investigate unusual or potentially suspicious trading activity. Developing an understanding of market-abuse typologies, including spoofing, layering and insider dealing. Analysing trading activity across multiple asset classes, markets and jurisdictions. Helping integrate new markets, products, and data sources into the surveillance framework. Working with technology and data teams to improve monitoring tools and surveillance processes. Your current skillset Eligibility – Penultimate or final year students pursuing a Bachelor’s, Master’s, or PhD in a STEM discipline, on track for a 2:1 or above . Technical Skills – Examples of relevant experience include: Interest in financial markets and electronic trading, and basic knowledge of different asset classes such as equities, derivatives, fixed income and cryptocurrencies. Strong analytical and problem-solving skills, with the ability to investigate data, identify patterns and reach well-reasoned conclusions. Experience with Python or SQL and familiarity with data analysis, automation or the use of emerging coding and AI-assisted programming applications. Good communication skills and writing skills Examples of the projects you may work on include: Analysing order and trade data to identify patterns that may indicate suspicious or disorderly trading, supporting the investigation and documentation of daily surveillance alerts. Analysis of flagged electronic or voice communications Testing and calibration of surveillance alerts, thresholds and detection logic. Building data-analysis or automation tools to improve the efficiency and effectiveness of surveillance reviews, including the design and development of data quality controls. Working with Compliance, Trading, Risk and Technology colleagues to understand trading behaviour and resolve data or surveillance issues. Mindset Curious and intellectually rigorous, with a genuine interest in financial markets, technology and data. Analytical and detail-oriented, with the ability to investigate unfamiliar problems in a structured manner. Clear and thoughtful communicator who can explain findings to both technical and non-technical colleagues. Collaborative and comfortable working with Compliance, Trading, Risk and Technology teams. Approach – Entrepreneurial, self-motivated, and results-driven Interviewing Application – Submit your application online. We review applications on a rolling basis, so applying early is recommended. 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 2027 - Internship, HR Technology Programmes offered: Final-year internship, penultimate-year internship Location: London Programme duration: 3-6 months internship, 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 recruitment, we will work to align your skills, interests, and potential with teams where you can make the greatest impact. We are recruiting across two internship tracks: HR Data Analytics With mentoring from experienced engineers, help build the HR analytics platform, transforming raw data into clean, accessible formats. Work across business areas to deliver insights for managers, business partners, and senior leaders. Examples of the projects you may work on include: Build, deploy and maintain scalable, secure pipelines using AWS S3, ECS and Lambda; centralise Workday and Greenhouse data in warehouses for BI tools. Build Python and Kotlin services to automate workflows; test, monitor and troubleshoot data flows for accuracy. Partner with HR, analytics engineers and leadership to align technical capabilities with business needs and deliver actionable insights. Develop interactive BI dashboards using tools such as Python Dash. Document pipelines, models, transformations and data assets, including ETL documentation and metric glossaries; uphold data security, compliance and access controls. HR Software Engineer Build full-stack applications and integrations connecting core HR systems to the wider business, from conception to production. Translate HR requirements into scalable, cloud-native tools with clean code and sound data models. Automate repetitive work to improve employee experience and free HR colleagues for judgement, creativity, and human conversations. Examples of the projects you may work on include: Build internal tools beyond standard platform configuration, with interfaces using React, Python Dash or similar, and secure APIs and middleware connecting HR and corporate systems. Synchronise employee data using AWS S3, ECS and Lambda; automate manual processes in Python and Kotlin to reduce overhead and data entry errors. Test automation and implement error handling, logging and monitoring so integrations are reliable and trusted without manual checks. Translate HR logic into technical specifications, document tools and meet GDPR and financial services security standards. Work with functional analysts and stakeholders to identify friction in the employee lifecycle and propose software solutions. Your current skillset A degree in a numerate, scientific or computing discipline; equivalent practical experience is welcome for Data Analytics. A solid grounding in Python for automation, data or applications; object-oriented design for Software Engineering. Data modelling: metrics and semantic layers for BI in Data Analytics; SQL and models for transactional applications and analytical reporting in Software Engineering. Cloud familiarity, ideally AWS: willingness to learn storage and pipelines for Data Analytics; hands-on application deployment and operation, ideally with S3, Lambda or ECS, for Software Engineering. An analytical approach, clear communication, and enthusiasm for collaborating with technical and non-technical colleagues. Additional requirements — HR Data Analytics Exposure to ETL concepts or tools through study, internships or personal projects. Additional requirements — HR Software Engineering Experience with Kotlin or another statically typed JVM language. Front-end experience with JavaScript, HTML and CSS; familiarity with React, Bootstrap or Python Dash. Understanding of REST and SOAP APIs, JSON, XML and data transformation. Nice to have Exposure to Workday, Greenhouse, employee lifecycle data or HR metrics such as retention, engagement and performance. Infrastructure as code, particularly Terraform. Experience integrating AI, LLMs or agents, understanding their strengths and limitations. Data Analytics: front-end or user-experience skills, including Python Dash or React. Software Engineering: Git and CI/CD pipelines. Interview Process: 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 2027 – Internship, Business Data Analytics Programmes offered: Final-year internship, penultimate-year internship Location: London Programme duration: 3-6 months internship, 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 Join QRT’s growing Business Data & Analytics (BDA) team to turn internal and external data into practical business solutions. Work with developers and business stakeholders to research questions, explore complex datasets, and build tools that inform senior stakeholders. We are recruiting across three internship tracks, depending on your strengths and interests: Applied AI Engineering — Build and evaluate tools using LLMs, agents and retrieval to support research, automate workflows and enhance applications. Applied Data Science — Structure and connect data, apply statistical, machine learning and graph-based methods, and build data applications for the business. Investment Analytics — Work with the investment team to turn complex data into clear insights and develop tools supporting investment decisions. Your responsibilities will include: Translate business questions into analytical approaches, research and evaluate methods, and develop prototypes for integration with developers. Combine, structure and validate datasets across firms, teams and people; collect and analyse financial, market and portfolio data. Build dashboards monitoring investment performance, portfolio exposures, risk metrics, and market trends. Support investment research through quantitative analysis; communicate findings through clear visualisations and explanations for non-technical stakeholders. Assess accuracy and reliability, documenting assumptions and limitations. Prototype and test AI agents for document information extraction, research summaries, and recurring reports. Your present skillset Studying towards, or recently completed, a degree in Computer Science, Statistics, Data Science, Mathematics or another STEM discipline with relevant practical experience. Strong Python skills, clean, well-structured code, and experience cleaning, joining and modelling data from multiple sources. Intellectual curiosity about business, data and technology; strong analytical and problem-solving skills and a consulting mindset. Evidence of taking an open-ended problem from idea to working solution through projects, coursework, research or internships. Clear communication, initiative, and organisation, with confidence working through undefined requirements. Track-specific skills Demonstrate experience in your preferred track. Personal and passion projects are welcome: we are interested in what you built, your decisions, and what you learned. Applied AI Engineering — Hands-on experience with LLMs, including agents, tool use or retrieval; ability to assess AI outputs for accuracy, reliability and usefulness; interest in software deployment, operation and integration. Applied Data Science — Experience applying analytical or statistical methods, visualising data and presenting findings to non-technical users. Prior machine learning experience is not required; curiosity and solid data experience are valued. Investment Analytics — Attention to detail, interest in financial markets and investing, working knowledge of Python and Excel for data analysis, and interest in LLMs, AI agents and automation. Clear communication, initiative and collaboration. Good to have Graph data experience with Neo4j, NetworkX or similar. SQL. Cloud platforms, particularly AWS. Machine learning, including community detection, link prediction and embeddings for the Data Science track. Data applications or APIs using Dash or FastAPI. Interview Process: 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 QRT is a global quantitative and systematic investment manager, operating across all liquid asset classes. We are a data- and technology-driven organisation applying scientific methods to investing. Our collaborative culture and focus on innovation enable us to solve complex challenges and deliver high-quality returns for our investors. The HR Technology Team builds the applications and integrations that connect QRT’s core HR systems with the wider business, improving the employee experience and streamlining HR operations. Your future role within QRT We are seeking a Full Stack Developer to build scalable, cloud-native tools across QRT’s HR technology stack. You will deliver custom applications and integrations from conception through to production, with a strong focus on tested, observable and reliable automation. The role is expected to involve the following activities: Design, build and deploy full-stack internal tools that address HR requirements beyond standard platform configuration. Develop front-end interfaces using React, Python Dash or similar technologies. Build secure APIs and middleware connecting HR systems with other corporate tools. Create scalable data pipelines using AWS services including S3, ECS and Lambda. Automate manual HR processes using Python and Kotlin. Implement testing, error handling, logging and monitoring across applications and integrations. Translate HR requirements into technical specifications and work with stakeholders to improve employee lifecycle processes. Document solutions and ensure compliance with GDPR, data privacy requirements and financial services security standards. Your present skillset A degree in a numerate, scientific or computing discipline. Strong Python skills and a good understanding of object-oriented design. Experience with Kotlin or another statically typed JVM language. Front-end experience across JavaScript, HTML and CSS, with familiarity with React, Bootstrap or Python Dash. Hands-on experience with AWS, including S3, Lambda and ECS. Strong knowledge of REST and SOAP APIs, JSON and XML. Experience with data modelling and SQL for transactional applications and analytical reporting. Strong analytical and communication skills, including explaining technical concepts to non-technical HR stakeholders. Desirable to have experience or a willingness to learn in the following areas CI/CD pipelines and Git. Infrastructure as code using Terraform or similar tools. HR platforms such as Workday or Greenhouse, HR KPIs or employee lifecycle data. Integrating LLMs or AI agents into workflows, including HR ticketing or data categorisation. 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: 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. QRT is seeking a Quantitative Developer with strong Python skills and a deep understanding of systems design and reliability principles to help evolve and scale our high-performance trading platform. You'll build tools, automation, and design systems that support the speed and reliability our business depends on. Your future role within QRT Collaborate with developers, researchers, traders, and platform teams to build and improve business-critical systems Build automation for operations, deployment, monitoring, and incident response Evaluate and implement tools that balance performance, complexity, and maintainability Own and evolve our observability stack: metrics, logs, tracing, and alerts Your Present Skill Set Bachelor's degree in Computer Science or a strongly related field Strong Python programming skills Strong problem-solving skills and deep understanding of computer science fundamentals Commitment to code clarity, documentation, and reducing technical debt Hands-on experience with Linux/Unix systems in production environments Proven track record designing and delivering scalable systems in production environments Knowledge of low-latency systems, trading environments, market data, or exchange protocols 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 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 work within a quantitative development function supporting research and trading activities across Commodities, including Agriculture, Metals and Energy. The role focuses on developing Python applications, quantitative tools and data infrastructure that support trading decisions, research and risk management. You will collaborate closely with Quantitative Researchers, Traders, Data Engineers and infrastructure specialists to deliver solutions across alternative data, pricing, backtesting and statistical modelling. Your future role within QRT Design, develop and deploy quantitative tools supporting trading and research, including pricing, backtesting, risk analysis and PnL reporting Build Python applications and data pipelines to explore, integrate and analyse alternative datasets, including weather and cargo data Collaborate with Quantitative Researchers and Traders to translate trading ideas and business requirements into production applications and quantitative models Architect, develop and maintain cloud applications in collaboration with infrastructure engineers, using AWS and related technologies Develop and apply statistical and machine learning models to support research and trading across Agriculture, Metals and Energy Implement quantitative optimisation methods and automate research and trading workflows Monitor, troubleshoot and enhance existing trading and research infrastructure to ensure reliability and performance Your present skillset Minimum 2 years of professional software development experience, with strong Python programming skills or proficiency in another object oriented language Strong understanding of software design principles and experience developing maintainable applications Proficiency with Python numerical and data analysis libraries such as NumPy, Pandas, Polars and Matplotlib Solid SQL skills and experience working with relational databases Experience developing data processing pipelines, ideally using orchestration frameworks such as Airflow Familiarity with AWS or similar cloud platforms and infrastructure as code practices Good understanding of software development practices, including Git, unit testing, packaging and scripting Experience using AI development tools to support coding, debugging and software delivery Strong quantitative and analytical skills, with an interest in financial markets and trading Ability to work autonomously, manage priorities and collaborate effectively with Researchers, Traders and Engineers Previous experience developing quantitative tools or models within Commodities trading is beneficial Experience building dashboards and data visualisation applications using Plotly, Streamlit, Dash or htmx is advantageous Advanced AWS experience, including services such as DynamoDB, RDS, S3, Lambda and AWS CDK, is beneficial Familiarity with Snowflake or similar data platforms is advantageous Experience with parallel or distributed computing frameworks such as Slurm and Ray is beneficial Experience developing statistical or machine learning models is advantageous Previous experience mentoring junior developers or interns is beneficial 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 QRT is a global quantitative and systematic investment manager, operating across all liquid asset classes. We are a data- and technology-driven organization applying scientific methods to investing. Our collaborative culture and focus on innovation enable us to solve complex challenges and deliver high-quality returns for our investors. The Business Data & Analytics (BDA) Team develops applications and business insights for senior stakeholders. Its data platform supports the team’s applications and analytical tools, alongside work in data science, analysis and applied AI. Your future role within QRT We are seeking a Data Engineer to help build and maintain the BDA data platform. You will work directly with business stakeholders, translating open-ended questions into reliable datasets, analyses and tools. The role is expected to involve the following activities: Design, build and operate data pipelines and datasets on AWS using services including S3, Lambda, Step Functions, Glue and Athena. Define infrastructure as code and deliver changes through CI/CD. Integrate internal and external data sources, validating data quality and reliability. Build reporting and BI views and communicate findings to non-technical stakeholders. Use agentic coding tools in day-to-day development and design data and systems that AI agents can use safely. Contribute to LLM-powered projects, including document extraction, natural-language data access and automated data quality. Share ownership of the team’s systems, documenting design decisions, assumptions and limitations. Your present skillset A degree in Computer Science, Engineering, Mathematics, Statistics or another relevant technical discipline. At least three years’ experience building and operating production data pipelines and datasets. Strong hands-on experience with AWS, including IAM. Strong Python and SQL skills, with the ability to write clean, structured and tested code. Experience with infrastructure as code and agentic coding tools, including reviewing and verifying their output. Strong analytical and problem-solving skills, intellectual curiosity and a consulting mindset. A proactive, organised and versatile approach, with enthusiasm for BI, analysis and data science alongside engineering. Comfortable working through problems where requirements are not fully defined. Desirable to have experience or a willingness to learn in the following areas Terraform. Dash, FastAPI or similar frameworks for dashboards, reporting and data applications. LLMs, including agents, tool use, retrieval or MCP. AI-friendly data architectures, including machine-readable data contracts, catalogues and metadata. Applying machine learning or statistical methods to business problems. Spark or PySpark. 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: 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. As a Senior Quantitative Developer, you will work in a close-knit global team of Multi-Asset Quant Developers and Researchers, collaborating to enhance our research platform in a fast-evolving environment. You will directly contribute to the team’s success by recommending innovative software solutions and building new tools and systems. Your future role within QRT Provide technical leadership and help raise engineering standards across the team Improve software engineering practices across research workflows, including the effective adoption of agentic coding tools and workflows Automate and streamline large-scale data preparation and cleansing workflows Build, enhance, and support quantitative research tools Help Quant Researchers bring trading strategies into production Continuously evolve the team’s software platform to meet changing business needs Your present skillset 5–10 years of quant development experience High standards for code quality, testing, and maintainable software design Strong Python development skills and proficiency with agentic software development Ability to multitask, prioritize projects, and collaborate effectively Strong communication skills and ability to thrive in a fast-paced environment 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: Singapore 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 The successful candidate will join the global infrastructure team at QRT. You will be responsible for architecting, engineering and subsequent delivery oversight across all aspects of the QRT network estate but with particular focus on our colocation infrastructure. The trading infrastructure is a combination of wide area connectivity and ultra-low latency trading infrastructures. The team will deliver network solutions which enable full lifecycle management (architect, design, build, operate, retire) for our network components across core network switching, firewalls, load balancers, instrumentation/telemetry, network CMDB, and automation. It is crucial that any candidates must be able to demonstrate delivery of complex networks, at scale, which have been delivered through a software and automation-driven mindset. You will have deep knowledge of high-performance networking, including detailed knowledge of the product capabilities and roadmaps from the likes of Cisco, Arista and Fortinet. You will have direct experience of delivering and managing network solutions supporting corporate infrastructure and exchange specific ultra-low latency infrastructure with associated automation, telemetry and instrumentation frameworks. Your present skillset As a senior network engineer, you will partner closely with the project management teams and work in a highly collaborative manner within the network team and the wider organisation You will be member of an existing engineering team where you have direct responsibility and accountability for a complex and high-performance network infrastructures You will be able to demonstrate expert knowledge of delivering complex network architectures delivered via software driven and agile methodology You will have deep knowledge of delivering networks supporting high-performance and low latency computing architectures You will have deep knowledge of the network vendor ecosystem and be able to demonstrate building engineering relationships at senior layers with vendor product and engineering teams You will stay informed on industry trends and emerging technologies to ensure the network infrastructure remains cutting-edge You will have knowledge of wide area network engineering focused on traffic prioritisation and steering.  It would be good to have experience of Segment Routing. 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: New York Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes worldwide. We are a technology- and data-driven group that applies a scientific approach to investing. Our collaborative culture brings together research, technology, and trading expertise to solve complex challenges and deliver high-quality returns. We are looking for a Senior Technical Incident Manager to lead business-critical technology incidents for QRT’s US broker-dealer operations. You will coordinate recovery across systems supporting trading, research, execution, and risk while strengthening operational resilience. Your Future Role within QRT · Lead major incidents from triage and escalation through service restoration and recovery validation. · Coordinate technical teams, third-party providers, and regional Incident Managers throughout the incident lifecycle. · Assess business impact, prioritise recovery, and communicate clearly with stakeholders and senior leadership. · Maintain accurate incident records, timelines, and decision logs in designated ITSM tools. · Lead post-incident reviews, root-cause analysis, and remediation of recurring issues. · Improve incident processes, controls, metrics, tooling, workflows, and automation. · Partner with Technology, Operations, Risk, and Compliance on regulatory requirements, audit readiness, business continuity, and operational resilience. Your Present Skillset · 10+ years of experience in technology operations or service management within financial services or trading. · Hands-on experience in production engineering, SRE, application support, or infrastructure operations. · Proven ability to lead major incidents and drive timely, controlled recovery. · Strong knowledge of trading systems, service dependencies, failure scenarios, and change management. · Experience leading root-cause reviews and improving incident processes and controls. · Experience supporting engagement with US regulators, including the SEC and FINRA. · Clear communication with technical teams, trading stakeholders, and senior leadership under pressure. Nice to Have · Python or shell scripting, observability platforms, or incident workflow automation. · Familiarity with ServiceNow or Jira Service Management. · ITIL 4 Foundation certification or equivalent. Base salary range for this position is $180,000 to $250,000 per year. QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.

Location: 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 Database Engineering team, responsible for maintaining secure, reliable and scalable database services. Working closely with engineers and business users, you will support database operations and translate business requirements into practical database solutions, with a primary focus on PostgreSQL. Your Future Role within QRT You will... Administer, maintain and secure PostgreSQL databases across on-premises and cloud environments. Monitor database health, troubleshoot issues and improve performance and availability. Maintain and test backup, recovery and disaster recovery procedures. Support database design, high availability, capacity planning and upgrades. Manage database access and permissions in line with security requirements. Work with engineers and business users to understand data requirements and resolve database issues. Automate routine administration tasks and maintain clear operational documentation. Your Present Skillset At least five years of production PostgreSQL administration experience across on-premises and cloud environments. Working knowledge of database monitoring, performance tuning, high availability and disaster recovery. Familiarity with UNIX/Linux environments. Experience using SQL and database procedural languages to develop and maintain database solutions. Experience managing database security, access controls and permissions. Scripting and automation skills using tools such as Python, Shell, PowerShell or Ansible. Familiarity with additional database platforms such as SQL Server, ClickHouse or Snowflake. A structured, proactive approach to troubleshooting, testing and documentation. Strong communication and collaboration skills, with attention to detail. 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: New York, Chicago 2027 – Internship, Technology Programmes offered: Final-year internship, penultimate-year internship Location: New York, Chicago Programme duration: 10-week summer internship 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 four Technology disciplines. Software Engineer (New York) Build the technology behind QRT’s trading and investment activities, from ultra-low-latency execution systems to global platforms for analytics, risk management and reporting. Our engineers connect the firm to markets, brokers and data providers, developing systems that process large volumes of data reliably. You’ll work with experienced engineers, quantitative developers and researchers on a defined technical problem, making considered engineering choices and building something useful. Projects may include AI-powered static analysis, exchange simulator development, risk data platforms or trading interfaces. FPGA Engineer (New York, Chicago) Develop ultra-low-latency hardware that processes market data and executes orders. Working at the boundary between hardware and software, the FPGA team builds systems where small design decisions can have a measurable impact on latency, throughput and reliability. You’ll use SystemVerilog, C++ and Python to help design, test and integrate FPGA systems into our trading infrastructure. Alongside experienced engineers, you’ll develop new functionality, verify system behaviour and investigate performance improvements, gaining practical experience with the hardware and development tools used in live trading. Security Engineer (New York) Help protect the systems, data and infrastructure behind QRT’s global research and trading activities. Our Security team works closely with Cloud, Infrastructure and Network Operations to understand system behaviour, identify weaknesses and build practical ways to prevent, detect and respond to threats. You’ll contribute to security engineering, investigations and automation alongside experienced colleagues. Projects may include building agents to support cyber-security investigations, reproducing emerging attack techniques in isolated environments, researching vulnerabilities or developing tools that make security assurance more scalable and effective. Infrastructure Engineer (New York) Work on the on-premise hardware and operating systems behind QRT’s production trading environment. The Infrastructure team measures and optimises hardware performance, investigates Linux internals and tunes systems where small changes can make a meaningful difference to trading technology. Alongside experienced engineers, you’ll develop a detailed understanding of how hardware and software interact. Your work may involve investigating performance constraints, testing system configurations and assessing improvements to reliability. You’ll learn to use evidence and careful analysis to make production systems faster, more stable and more predictable. 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 or Security 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. Interest in Software Engineering, Security, Infrastructure or FPGAs. Programming: Proficiency in C++, C# or Python, Systems Verilog 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. 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. At QRT, interns join a team from day one, working on real problems alongside experienced colleagues. You’ll contribute to meaningful projects, learn by doing and have the support to ask questions, explore ideas and develop your skills throughout the programme. The annualised base salary for these US positions is $178,000, prorated to reflect the duration of the internship. Interns also receive a signing bonus and a competitive benefits package, including healthcare coverage, access to a 401(k) plan, and breakfast and lunch. Beyond the work, there’s plenty happening in the office, from gym sessions and board game nights to team socials and opportunities to get to know colleagues across QRT. 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: 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. We are hiring a Senior Low-Latency Software Engineer to join a newly formed team building a high-performance trading platform from scratch. This platform sits at the heart of QRT’s execution capabilities and is designed for ultra-low-latency, high-frequency trading. You will work on systems where performance is critical, contributing directly to how strategies are executed in live markets. Your future role within QRT: Design, build, and optimize greenfield, high-performance distributed trading systems in C++, with a strong focus on latency, scalability, and reliability. Partner closely with quant researchers and trading teams to translate strategies into production systems and contribute to the overall architecture. 5+ years of experience in low-latency / high-performance C++ development. Strong expertise in modern C++ (C++17/20/23) and systems programming. Experience with multithreading, concurrency, and real-time systems. Solid understanding of Linux systems and low-level performance optimization. Your present skillset: 5+ years' experience developing high-performance applications in modern C++ Strong understanding of algorithms, data structures, and multithreaded programming Solid understanding of low-latency systems and performance optimisation techniques Experience in electronic trading systems (market data, execution, or connectivity). Understanding of market microstructure. Knowledge of networking (TCP/UDP) and system-level performance tuning. Exposure to hardware acceleration (e.g. FPGA). Interest in quantitative finance, electronic trading, or market making Strong problem-solving skills and the ability to work collaboratively with researchers, traders, and engineers Base salary range for this position is $180,000 to $300,000 per year. QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.

Location: New York Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across liquid asset classes worldwide. We are a technology- and data-driven group that applies a scientific approach to investing. Our collaborative culture brings together research, engineering, and financial markets expertise to solve complex challenges and build high-quality, scalable technology. We are looking for a C++ Developer to join our ETF technology team. You will design and build core platforms, services, and infrastructure supporting QRT's capabilities in the ETF space. This is an opportunity to develop robust, high-performance systems and end-to-end workflows while collaborating with engineers, researchers, and business stakeholders. Your Future Role within QRT · Design and develop high-performance C++ applications and services supporting ETF-related platforms and infrastructure. · Build reusable platform components for data processing, messaging, connectivity, workflow orchestration, and system integration. · Develop reliable services for handling real-time and reference data from multiple internal and external sources. · Design automated, event-driven solutions for complex, multi-stage business workflows. · Create well-controlled systems with appropriate validation, auditability, monitoring, and operational tooling. · Improve the performance, resilience, scalability, and observability of production systems. · Integrate new components with QRT's broader technology and data ecosystem. · Collaborate with engineers, researchers, and business stakeholders to translate requirements into well-architected and maintainable solutions. · Contribute to technical design, testing standards, code quality, and long-term platform strategy. Your Present Skillset · 7+ years of professional experience developing performance-sensitive applications in modern C++. · Strong knowledge of software engineering fundamentals, including algorithms, data structures, object-oriented design, and software architecture. · Experience with multithreaded, concurrent, and event-driven programming. · Strong experience developing and operating software on Linux. · Experience building reliable production systems that process real-time or high-volume data. · Experience designing APIs, messaging-based services, or integrations with external systems and data providers. · Understanding of distributed systems, failure handling, testing, monitoring, and production support. · Practical knowledge of the ETF ecosystem, including products, data, market structure, participants, conventions, and operational lifecycles. · Strong problem-solving and communication skills, with the ability to work effectively across technical and business teams. Nice to Have · Experience building technology within the ETF, asset management, investment banking, or broader financial markets space. · Familiarity with ETF reference data, pricing data, lifecycle events, and related operational processes. · Experience with market data feeds, financial messaging standards, connectivity protocols, or middleware technologies. · Experience designing and operating resilient distributed systems in production. · Familiarity with Python or another language used for tooling, integration, or data analysis. · Experience with cloud infrastructure, containerisation, CI/CD, and modern observability tools. Base salary range for this position is $180,000 to $300,000 per year. QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.

Location: 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. You will join a Network Engineering team responsible for designing and operating large-scale public cloud, datacentre and high-performance computing (HPC) network infrastructure. The team works closely with Quantitative Researchers, Traders, and infrastructure, application teams to ensure reliable, high-performance connectivity across compute and storage platforms. What You'll Do We are seeking an experienced network engineer to join our AWS Cloud Engineering team to support the continued growth and maturation of our global cloud network. You will: Design, develop and evolve QRT’s complex global AWS network architecture, with a focus on scalability, resilience, security and performance. Support connectivity across compute, storage and cloud platforms Use infrastructure as code and software-engineering practices to deliver consistent, repeatable and auditable network changes at scale. Explore, evaluate and onboard new AWS networking services and features as part of the continuous improvement of the platform. Contribute to the ongoing development of network architecture standards, design patterns, governance, observability and resilience. Act as an engineering escalation point for complex connectivity and performance issues across cloud and traditional network domains. Stay informed on industry trends and emerging technologies to evolve network infrastructure What We're Looking For You will have: At least five years of experience in cloud or network engineering, including strong hands-on experience with AWS networking in production environments. Good knowledge of AWS networking services, including VPC, Transit Gateway, PrivateLink, Direct Connect and Route 53. Network security concepts, services and platforms, including segmentation, firewalls, AWS Shield and AWS WAF. A solid understanding of networking fundamentals, including IPv4 subnetting, TCP/IP, ARP, VLANs, routing and switching, NAT, BGP, DNS, DHCP, HTTP/S and TLS. Demonstrable experience with infrastructure as code and programming or scripting, ideally using Terraform and Python. Experience troubleshooting on AWS, such as VPC Flow Logs, Reachability Analyzer, CloudWatch and Traffic Mirroring. Be comfortable getting hands-on with smaller engineering tasks as well as larger strategic projects Be a highly collaborative team player who takes ownership of complex problems and major project deliverables, communicating clearly and working across teams to drive successful outcomes Desirable experience Experience in, or a willingness to learn, the following areas would be beneficial: Newer AWS networking technologies, including AWS Cloud WAN, Route 53 Profiles and VPC Lattice. IP address management platforms such as Amazon VPC IP Address Manager or Infoblox. Traditional enterprise and datacentre networking technologies, including dynamic routing, resilient network design, EVPN/VXLAN and network overlays. IPv6 architecture and deployment on AWS and in hybrid 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.

Location: 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. You will work at the intersection of financial markets, data science and engineering, supporting the discovery, evaluation and integration of financial datasets used across quantitative research and trading. The role combines technical expertise with an understanding of Macro markets, working closely with Quantitative Researchers, Portfolio Managers and Traders to translate business requirements into practical data solutions. You will engage directly with external data providers, assess existing data assets and identify opportunities to expand the firm's data capabilities. Your future role within QRT Collaborate with Quantitative Researchers, Portfolio Managers and Traders to understand their data requirements and identify suitable datasets for research and trading strategies Evaluate existing data assets and external vendor offerings, assessing coverage, quality, consistency and suitability for specific financial applications Manage the discovery, evaluation and onboarding of new datasets, with a focus on Macro markets, including Rates, bonds, swaps, derivatives and alternative data Engage directly with external data providers to understand their offerings, assess APIs and investigate data availability, structure and delivery mechanisms Develop Python tools and data pipelines to extract, clean, normalise and analyse financial datasets from multiple sources Investigate discrepancies across data providers, including differences in instrument identifiers, pricing conventions, timestamps and reference data Maintain and improve the quality and consistency of existing datasets, proactively resolving issues and identifying opportunities to enhance data coverage Collaborate with engineering teams to automate data ingestion, validation and integration processes, ensuring reliable delivery into research and trading environments Your present skillset Minimum 2 years of relevant professional experience in Data Science, Data Analysis, Data Engineering or a similar role within financial markets Practical understanding of financial markets and instruments, with exposure to Macro, Fixed Income, Rates, Credit or related asset classes Strong Python programming skills, including experience with data analysis libraries such as Pandas and NumPy Good SQL skills and experience working with structured financial datasets Experience sourcing, analysing and processing financial data, with an understanding of data quality, validation and consistency across multiple sources Ability to understand financial concepts and communicate effectively with Quantitative Researchers, Portfolio Managers, Traders and external data vendors Strong analytical and problem solving skills, with the ability to investigate unfamiliar datasets and identify appropriate solutions independently Familiarity with external data providers, financial data platforms and API integration Ability to manage competing priorities, take ownership of data initiatives and collaborate effectively across technical and business functions Degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, Physics, Engineering or Finance; a postgraduate qualification is beneficial Experience developing data pipelines, automating data workflows or supporting production data infrastructure is beneficial Knowledge of financial data concepts such as yield curves, instrument reference data, market data and pricing conventions is advantageous 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 QRT is a global quantitative and systematic investment manager, operating across all liquid asset classes. We are a data- and technology-driven organization applying scientific methods to investing. Our collaborative culture and focus on innovation enable us to solve complex challenges and deliver high-quality returns for our investors. Your future role within QRT We are seeking an experienced Senior Security Engineer to own complex security challenges across QRT’s global environment. This is a senior individual contributor role combining hands-on engineering, technical leadership, mentoring and operational responsibilities. The role is expected to involve the following activities: Own security initiatives from discovery and design through delivery and ongoing operation, coordinating dependencies across teams and regions. Set technical direction and engineering standards, balancing security, reliability, performance and operational cost. Build and improve controls across identity and privileged access, endpoints, cloud and on-premises infrastructure, data protection and security monitoring. Identify security weaknesses and attack paths, prioritise them by business impact and deliver practical remediation. Automate deployment and operations through APIs, scripting and infrastructure as code, with appropriate testing and rollback procedures. Deliver resilient, supportable services with effective monitoring, runbooks and recovery procedures. Share responsibility for maintenance, support and troubleshooting. Participate in the security on-call rota, responding outside normal working hours as required. Lead complex incident troubleshooting and follow through on corrective actions. Partner with Security, Infrastructure, IT and development teams to integrate controls and drive adoption. Evaluate technologies through testing and ensure successful operational handover. Mentor junior engineers through coaching and design reviews, acting as a senior technical escalation point. Your present skillset Substantial security engineering experience in complex enterprise environments, including ownership of major initiatives spanning multiple teams. Deep practical expertise in several relevant security domains, such as identity, privileged access, endpoint or cloud security, infrastructure hardening, secrets management, PKI, data protection or detection engineering. Strong understanding of Windows, Linux, Active Directory, modern identity platforms, networking, authentication and hybrid infrastructure. Ability to work at both architecture and implementation level, with strong automation skills and experience using version control and delivery pipelines. Experience operating reliable production services, including upgrades, configuration management, monitoring, resilience and recovery. Sound risk judgement, clear communication and the ability to influence stakeholders, resolve dependencies and deliver under ambiguous requirements. Experience mentoring engineers and providing senior technical support during incidents and in an on-call environment. Desirable to have experience or a willingness to learn in the following areas: Quantitative trading, financial services or other environments with demanding availability and performance requirements. Security services spanning multiple regions, clouds and data centres, including migration from legacy platforms. 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 offer initiatives and programmes to enable employees to achieve a healthy work-life balance.

Location: New York Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in various liquid asset classes worldwide. The company uses a technology and data-driven approach to investing. By combining data, research, technology, and trading expertise, QRT adopts a collaborative mindset to address complex challenges. The company's culture of innovation aims to achieve high-quality returns for investors. The Infrastructure Operations Team ensures the stability and performance of QRT’s global Windows platforms, which underpins both trading and research platforms. The team works closely with end users, application teams, and engineering groups to provide day-to-day operational support, while also driving automation, monitoring, and deployment initiatives across a high-performance computing environment. Your Future Role within QRT Monitor the health, availability and performance of Windows infrastructure and respond proactively to alerts and service degradation. Provide 2nd- and 3rd-line operational support for Windows Server, Active Directory, VMware and associated infrastructure services. Investigate and resolve incidents affecting Windows servers, applications and virtual machines, escalating complex engineering issues to the UK platform team where appropriate. Perform routine administration, maintenance and approved changes across Windows Server 2022–2025 environments. Support Active Directory, Group Policy, DNS, certificate services and Entra ID integration. Manage server patching, security remediation, capacity and operational lifecycle activities. Monitor and troubleshoot server backups, supporting recovery testing and disaster recovery readiness. Support VMware ESXi clusters, virtual machines, storage connectivity and related infrastructure. Use tools such as Splunk and other monitoring or SIEM platforms to investigate infrastructure, security and application issues. Support regional components of Citrix DaaS, Azure, Microsoft 365 and Intune services. Use PowerShell and existing automation tooling to improve operational efficiency and reduce repetitive tasks. Carry out infrastructure checks, operational validation and post-change monitoring for changes delivered by the UK engineering team. Coordinate with application, network, security and service teams to resolve cross-functional incidents. Maintain operational documentation, support procedures, knowledge articles and infrastructure records. Identify recurring problems and work with the engineering team on permanent fixes and service improvements. Contribute operational experience and regional requirements to global infrastructure projects. Your present skillset Strong hands-on experience supporting Windows Server environments in a large enterprise. Good knowledge of Active Directory, Group Policy, DNS and associated troubleshooting. Strong PowerShell skills for administration, diagnostics and operational automation. Experience supporting Windows patching, security hardening and vulnerability remediation. Experience administering VMware ESXi environments and troubleshooting virtual machines. Experience with enterprise backup platforms such as Veeam. Familiarity with monitoring, logging and SIEM platforms such as Splunk. A good understanding of storage technologies, including SAN and NAS. Working knowledge of Azure, Entra ID, Microsoft 365 and Intune. Experience supporting Citrix DaaS or other enterprise VDI environments would be beneficial. Familiarity with configuration and infrastructure automation tools such as Ansible and Terraform would be advantageous. A solid understanding of networking, PKI and infrastructure security principles. Strong analytical and troubleshooting skills across servers, desktops, applications and virtual infrastructure. The ability to take ownership of operational issues, prioritise effectively and remain calm during service incidents. Excellent communication skills and the ability to collaborate effectively with colleagues across different regions and technical disciplines. Base salary range for this position is $150,000 to $200,000 per year. QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.