Qube Research & Technologies jobs

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

Data Platform Engineer - Database & Infrastructure 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. We operate one of the most demanding data infrastructures in finance, supporting mission-critical distributed systems across multiple database and streaming platforms, with strict requirements around availability and performance. Our environment spans both on-prem infrastructure and AWS, with a strong focus on standardization, automation, and Kubernetes-based orchestration. We are looking for an experienced Data Platform Engineer to join our DevOps team in Paris. This role is fully on-site , with a strong focus on ensuring the reliability and scalability of our production data infrastructure. Your future role within QRT: This role sits at the intersection of data engineering and infrastructure engineering, focused on building reliable, scalable, and high-performance data platforms. Your responsibilities will include: - Ensuring reliability and performance of production data systems (ClickHouse, CockroachDB, Trino, etc.) - Designing and operating database clusters on Kubernetes (via operators) - Building and maintaining data pipelines (ingestion, transformation, replication) - Driving Infrastructure-as-Code practices (Terraform, Helm) - Operating storage and data platforms across on-prem (VAST) and AWS (S3, EMR, MSK, RDS, EKS) - Managing

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

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

Windows Platform & EUC 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: As a Hybrid EUC & Windows Platform Engineer, you will be part of the Global Infrastructure Team, responsible for designing, building, and supporting both Microsoft Windows Server / virtualization infrastructure and core End User Computing (EUC) services. Your role is critical in ensuring the smooth operation of core IT services that underpin research technology, trading platforms, market execution, and data processing, while also ensuring a secure, consistent, and high-performing end-user experience across Windows endpoints, identity, and productivity services. This role blends server platform engineering with modern EUC engineering, with a strong focus on Active Directory, Group Policy design, endpoint automation, and operational excellence. Windows Server & Core Infrastructure Engineering - Build, manage, and deploy Windows Server environments (2022-2025). - Design, deploy, and support a globally distributed, multi-forest Active Directory environment. - Configure and manage core AD services including DNS, replication, trusts, and identity integration with Entra ID. - Manage user lifecycle processes within Active Directory, including provisioning, access controls, delegation, and role-based access models. -

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

2026 - Internship, Quantitative Research Houston Q-Tx LLC, based in Houston, Texas, is an independent commodities trading business, leveraging our passion for data, research, technology and trading expertise to deliver consistent and high-quality returns for our investors. We are affiliated with Qube Research and Technologies, a global quantitative and systematic investment manager. Your future role at Q-Tx As a Quantitative Research Intern, y our core objective will be to develop high-quality predictive signals. You will leverage access to vast and diverse datasets to identify hidden statistical patterns and market opportunities. Collaborating with fellow researchers to exchange ideas and refine methodologies. You will be trained to lead the full research cycle - from idea generation to implementation. We're looking for interns who are curious, creative, and collaborative. If you're passionate about learning, excited to take on challenges, and ready to make a real impact, you'll find plenty of opportunities to grow with us. Your present skillset - Pursuing an advanced degree in a quantitative field such as data science, statistics, mathematics, physics, or engineering - High level of technical knowledge in statistics, machine learning, NLP or AI techniques is a plus - Coding skills required in at least one leading programming language (Python and C++ or C#) - Experience in exploring large datasets across multiple time frames is a plus - Capacity to multi-task in a fast-paced environment while keeping strong attention to detail - Ability to work autonomously, in a collegial and collaborative setting, and with colleagues from diverse backgrounds

Cloud DevOps Engineer Hong Kong, 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. Team & Role Overview We are seeking a highly skilled and experienced technologist to work in our Cloud Service & Tools team. This team is responsible for deploying, maintaining and supporting companywide tools available in a distributed cloud and on-premises environment. As part of the Service & Tools team, you'll be working on tools like Gitlab, Kubernetes, as well as in house systems, and more generally on AWS administration. Your present skillset - Kubernetes and container knowledge (EKS, Podman, Docker) - Developing and troubleshooting CI/CD (Gitlab CI is a plus) - Infrastructure as code, automated configuration languages and tools such as Terraform and Ansible - Experience of developing, monitoring and supporting distributed systems in production (tools like Cloudwatch, Coralogix or Open Telemetry are a plus) - Understanding of Linux OS, particularly RHEL/Rocky 9 - Good understanding of core AWS services - VPC security and networking - EC2 configuration and scaling - Storage services S3, EFS, EBS and FSx - IAM - Knowledge of administration for the following tools is a plus

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. -

Quantitative Strategist 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 - Your core objective is to deliver high quality analytics of trading and production data and provide senior management with strategic outputs - Develop new reports and analysis tools in order to help traders and researchers manage their risk on a daily basis - Leverage your trading and market expertise by sharing production results and methodology with other traders and researchers - Contribute to portfolio management through periodic strategic deep dives and improved continuous monitoring Your present skillset - Advanced degree in a quantitative field such as data science, statistics, mathematics, physics or engineering - Coding skills required in at least one programming language (e.g. Python + SQL, VBA) and capacity to work on large datasets - Experience in finance is a plus - Excellent communication skills Your enhanced experience and learning opportunities at QRT - Mentorship from industry professionals - Detailed practical hands-on experience with portfolio management and analysis - Contribution to high level decision making on global businesses - Exposure to large scale data analysis technology

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

2026 Internship - Software Engineer 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. 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 includes everything from high-frequency trading proficiency to extensive multi-year simulation research infrastructures. Our culture is centred around technology, automation, and industrialized processes. We operate in multiple languages from C++ to Python and embrace open-source software. You will be joining a community of graduates and interns, who are all looking to build a future career within QRT. We believe in nurturing talent to be successful and are looking for a new cohort of individuals to join the firm in the upcoming year. We offer a stimulating, intellectual and high performing environment, where we foster collaboration. You will have the opportunity to join a growing and dynamic environment, where you will be mentored by industry experts to support your professional growth, this includes the prospect of securing a full-time graduate position after successfully completing your internship. Your future role at QRT The successful candidate will join a

Software Engineer - Site Reliability Engineering 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. QRT is seeking a Software Engineer 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 - Participate in the team oncall rota, leading incident response and driving continuous improvement through postmortems and root cause analysis 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 -

Product Security Engineer London *]:pointer-events-auto [content-visibility:auto] supports-[content-visibility:auto]:[contain-intrinsic-size:auto_100lvh] scroll-mt-[calc(var(--header-height)+min(200px,max(70px,20svh)))]" data-turn-id="bd2548e5-6889-4b5d-bc50-75384f9f76b9" data-testid="conversation-turn-2" data-scroll-anchor="true" data-turn="assistant"> 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 Security team, working closely with Software Engineers and Infrastructure teams to embed security into the design, development, and operation of systems across cloud services, business applications, and core infrastructure. Your Future Role within QRT You will: - Support the implementation and operation of product security controls across cloud services, core infrastructure, and business applications on Windows and Linux platforms - Work with engineering teams to integrate security into system design and development, applying practical approaches suitable for fast-moving environments - Contribute to secure software development practices, including supporting security reviews across languages such as Python, C++, Rust, Go, and Kotlin/Java - Perform threat modelling, vulnerability assessments, and security code reviews with guidance from senior team members - Assist with integrating and operating security tooling (e.g., SAST, DAST, dependency scanning) within CI/CD pipelines and runtime environments - Identify security risks and contribute to remediation and mitigation plans with engineering teams - Perform vendor security reviews to assess third-party security practices against internal standards -

Front Office Pricing Modelling Quant 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. You will join the team responsible for building QRT's next-generation derivatives pricing library. This is a front-office quantitative development role working closely with traders and researchers. The scope includes full-lifecycle model development: from research and prototyping to implementation, testing, and production integration. You'll also collaborate with risk and technology teams to integrate the library into broader trading and pricing infrastructure. Your future role within QRT - Contribute to the design and development of a new in-house derivatives pricing library - Build and implement pricing models across all asset classes, ranging from vanilla to exotic products - Prototype new models and contribute to their documentation, validation, and test coverage - Collaborate with trading and research teams to support backtesting and live strategy deployment - Work with risk and technology stakeholders to integrate models into real-time pricing systems and market data pipelines Your present skillset - 10-15 years of experience as a front-office pricing quant, with a strong focus on at least 2 assets classes within Rate, FX, Commodity, Equity - Proven experience

Strategic Technical Associate Paris, 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. You will join our Paris or London office, working closely with senior leadership and cross-functional teams on high-impact strategic and technology-driven initiatives. This role is designed as a high-exposure, accelerated learning opportunity for exceptional early-career profiles who combine strong analytical horsepower with genuine technical curiosity. You will operate at the intersection of strategy, AI initiatives, research enablement, operational projects, and internal tooling, contributing directly to initiatives that impact the firm at scale. Your future role at QRT: - Support cross-functional strategic projects across research, technology, and business teams - Contribute to internal AI and LLM-related initiatives - Build lightweight data tools and automation scripts - Assist with small coding and workflow optimization projects - Prepare structured analyses and executive-ready materials - Coordinate and follow up on multi-stakeholder initiatives to ensure strong execution Your present skillset: - Strong academic background in mathematics, engineering, computer science, finance, economics, or related fields - Demonstrated excellence through academic performance, competitions, hackathons, research, or meaningful side projects Skills: - Strong analytical and logical reasoning abilities - Coding

SRE - Trading Platform and Automation 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. Join our Site Reliability Engineer team to help evolve and scale our high-performance trading platform. You'll build tools, automation, and resilient systems that support the speed and reliability our business depends on. Your future role within QRT: - Build automation for operations, deployment, monitoring, and incident response. - Apply SRE fundamentals (SLIs/SLOs/Error Budgets) to improve service health. - Deliver and document system designs focused on resilience and performance. - Evaluate and implement the right tools for the job, balancing performance, complexity, and maintainability. - Own the observability stack (metrics, logs, tracing, alerts). - Lead incident response and drive continuous improvement across systems. - Collaborate with developers, quants, and platform teams on system evolution. Your Present Skill Set: - Hands-on experience in SRE or production engineering roles. - Strong Python skills for infrastructure tooling and automation. - Deep understanding of monitoring, incident response, and system architecture. - A commitment to code clarity and reducing technical debt. - Strong communication and collaboration skills across teams. - Experience designing and delivering scalable systems

Quantitative Developer - Python, C# 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: - Collaborate closely with quantitative traders to design and build systematic, data-driven trading strategies - Develop and maintain real-time tools used to compute indicators that drive these strategies Your present skillset: - Strong experience delivering production-quality Python applications - Hands-on production experience in C# or a similar language (C / C++ / Java) - Proven experience building, deploying, and supporting production systems - Ability to manage priorities effectively and work collaboratively in a fast-paced environment - Excellent communication and interpersonal skills Nice to have: - Previous experience in finance, particularly within a hedge fund environment - Exposure to a technical leadership or architectural role - Knowledge of AWS or a comparable cloud platform - Experience building dashboards or working with data visualization tools 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

Data Scientist - Fixed Income 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 with a strong fixed income background. In this role, you will work between the Research and Trading desks, and the Engineering team to ensure the successful leveraging of data across the firm's fixed income strategies and beyond. 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, particularly within fixed income, to design datasets that drive systematic strategies and inform discretionary trading decisions - Prototyping and designing code to extract, clean, and aggregate data from a wide range of raw sources and formats, including fixed income market data, reference data, and pricing feeds - Working with Engineers to automate and optimise your code, ensuring robust data extraction processes - Managing the end-to-end process of onboarding new datasets, with a focus on fixed income instruments such as bonds, rates, credit, and derivatives - Proactively solving data related problems to minimise time to production - Innovating and experimenting with

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 Scientist - Pricing 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. You will work within a data focused function supporting researchers, traders and engineering teams across the firm. The role focuses on designing and developing datasets that support systematic strategies and trading decisions, while improving the robustness and scalability of data onboarding processes. You will collaborate closely with technical and business stakeholders to help accelerate the use of both traditional and alternative datasets. Your future role within QRT - Collaborate with quantitative researchers and traders to design datasets supporting systematic strategies and trading decisions - Develop code to extract, clean and aggregate data from a wide range of structured and unstructured sources - Build and maintain robust data pipelines covering sourcing, transformation and delivery workflows - Work with engineering teams to automate and optimise data extraction and processing systems - Investigate and resolve data related issues to reduce time to production - Evaluate and implement new approaches for data extraction and onboarding Your present skillset - 2 or more years of experience as a Data Scientist or in a similar data focused 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

Quantitative Developer - Crypto (C++) Zurich Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT's collaborative mindset which enables us to solve the most complex challenges. QRT's culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT - A key member of the QRT Crypto desk, building and enhancing the quant technology stack for our systematic trading - Building the front-office systems for algorithmic trading, across data, risk, live trading, post-trade, and infrastructure - Working with traders and quants to roll-out, support and automate 24/7 trading strategies - Integrating with DeFi venues, including onboarding real-time on-chain data feeds - Working on greenfield projects as well as QRT's existing sophisticated tech stack - Mentoring junior members of the team and helping to set high quality standards for code Your present skillset - 3-10 years' professional experience - Strong C++ experience, Python skills would be a plus - Background in systematic trading advantageous - Passionate about crypto and DeFi - Very high standards in code quality and good development practices - Knowledge of real-time, robust, scalable and quantitative applications - Ability to architect high-throughput end-to-end systems - Strong team-player and communication skills - Experience with DevOps, CICD, AWS advantageous QRT is an equal opportunity employer.

Database Engineer 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. The Database Administration team, within the global infrastructure function, supports, administers, and secures QRT's key database platforms. The team partners with users across the business to translate requirements into resilient, scalable solutions, ensuring that data platforms remain robust, performant, and aligned with QRT's trading and research needs. Your Future Role within QRT - Administer and maintain PostgreSQL and SQL Server databases in a production environment - Support database projects covering administration, high availability, capacity planning, design, and data warehousing - Implement and monitor disaster recovery, backup, and performance tuning processes - Manage security, access, and permissions across environments - Collaborate with business and technology teams to design and deliver reliable database solutions - Contribute to the automation and scripting of database operations (e.g. PowerShell, Shell, Python, Ansible) - Assist with cloud database administration initiatives Your Present Skillset - 5+ years' experience in production database administration for PostgreSQL and SQL Server - Knowledge of database monitoring, performance analysis, disaster recovery, and performance tuning - Proficiency in SQL, T-SQL, or PL/SQL for administration and development