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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 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 Network Operations team is part of QRT’s global infrastructure function and ensures the stability and reliability of the firm’s global network. The team provides 24/7 operational support, covering monitoring, incident triage, and troubleshooting across a diverse set of environments including low-latency trading, high-performance computing, and global WAN technologies. Your Future Role within QRT Ensuring the smooth and efficient operation of the QRT Network in Trading, High Performance Compute, WAN, and other environments. Using modern monitoring techniques and tooling to detect and react to incidents, ensuring a fast response within the target SLA. Provide initial triage of incidents reported by internal teams or detected through monitoring tooling. Support and assist SMEs and vendor support teams through deeper and high priority incidents through to resolution. Owning end-to-end hardware failure process, collaborating with vendors to obtain replacement parts and put into operation. Drive proactively detection of potential incidents using monitoring tooling and trend analysis. Perform operational BAU changes during out of hours change windows such as, ACL updates, port configurations…etc Reporting service outages to connectivity providers, working for fast resolution and post outage RFO reports. Create and update documentation such as diagrams, knowledge articles, how-to guide…etc with aim to reduce time to resolve. Review service performance for connectivity providers and vendors to find and improve sub-performing areas for improvement. Running post incident reviews finding opportunities to improve the availability and reliability of our infrastructure. Your Present Skillset CCNA Certified and/or Degree in relevant subject area at 2:1 or above. Experience in an operational support team Experience using Cisco, Arista, Corvil products Strong troubleshooting skills of network infrastructure and collaborating with vendor support teams when required to perform deep investigation. Knowledge of network technologies (i.e. BGP, Multicast, TCP/IP, VXLAN, General Routing/Switching, etc.) Prior usage of NMS tools (i.e. Solarwinds, Zabbix, Grafana, Prometheus, etc.) Experience with analysis/troubleshooting tooling (i.e.  Wireshark, Splunk, PromQL., etc.) Informed on industry trends and emerging technologies to ensure our automation and practices remains cutting-edge. Experience of service management tooling (i.e. Jira, ServiceNow, etc.) 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.

Location: Sydney 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 global infrastructure support team at QRT, supporting the growing Linux on-prem estate. Engage with end users, application teams, and engineering teams to meet complex business requirements. This role involves both day-to-day support and project-based activities like new deployments, general administration tasks, and upgrades, working closely with engineering teams to enhance platform automation and monitoring initiatives. Your future role within QRT: Be a key member of the infrastructure support team working with high-performance Linux-based trading and research platforms. Build, administer, upgrade, and support QRT's Linux estate. Contribute to monitoring and automation initiatives. Collaborate with engineering teams to document and improve processes. Participate in out-of-hours work and an on-call rota (typically performed remotely). Leverage experience in Python and bash scripting. Your Current Skillset: Hands-on experience working with Linux-based platforms. Excellent Linux administration skills, with knowledge of RedHat, Centos, and Rocky. Experience with end-to-end server deployments. Proficiency in automation technologies (e.g., Ansible). Working knowledge of AMD/Intel server hardware and physical components. Strong problem-solving, communication, and analytical skills. Interest in technology and a willingness to learn. Ability to work as a team player. Working knowledge of server network stack, network protocols (e.g., TCP, UDP), LAN, and WAN technologies. Some experience with NFS/SAN systems is advantageous but not essential. 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 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 Build your product security knowledge and share learnings with peers across engineering teams Your Present Skillset 3–5 years of experience in product security, application security, software engineering, or a related role Hands-on experience with secure coding practices and at least one of: Python, C++, Rust, Go, Kotlin/Java Solid technical foundation in software development, system architecture, or infrastructure, with a strong interest in security Working knowledge of security principles and common vulnerabilities affecting software, cloud platforms, and business applications Experience securing Windows and/or Linux-based systems Practical experience with at least one cloud platform (AWS or Microsoft Azure), ideally in hybrid environments Familiarity with threat modelling, vulnerability management, and risk assessment concepts Experience using or integrating security scanning tools into development workflows and/or CI/CD pipelines Strong problem-solving skills, clear communication, and willingness to learn in a fast-paced environment Exposure to low-latency or performance-sensitive systems Experience in financial services and/or regulated environments Interest in automation and security tooling development 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: Shanghai Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped 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 a developer with 1+ years of experience in a quant trading environment to work directly with traders and quant researchers. Your future role within QRT Key member to the success of high-frequency and low latency algo trading on APAC markets Enrich and implement alpha and trading algorithms Implement specific market rules for the main Asian markets Collaborate with the traders and quant researchers on providing efficient research platform and tools Your present skillset Computer Science degree or equivalent Strong C++ 20/23 development experience on a Linux environment Interest in solving technical problems, along with ability to implement robust resilient and flexible solutions Familiar with HPC in Cloud environment, good level of Python Good communication skills in a dynamic and international 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: 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 QRT is hiring a Senior Product Security Engineer to protect diverse tech systems across cloud, business apps, and core infrastructure. In this role, you’ll drive automated security processes, influence architecture, and lead strategic security projects. Working closely with IT, cloud, and engineering teams, you'll implement security solutions for low-latency systems and multi-cloud platforms, including AWS, Azure, and Alibaba Cloud. You'll also secure hybrid infrastructures across Python, C++, and Kotlin/Java environments, ensuring robust protection that supports QRT’s high-speed, data-driven operations. Support the implementation of security controls and processes for product security, focusing on a broad range of systems, including core trading infrastructure, cloud services, and business applications across both Windows and Linux environments. Collaborate with engineering and product teams to integrate security into product design and development, applying your experience in securing large-scale software systems in a fast-moving environment. Contribute to the development and maintenance of a secure software development lifecycle (SDLC) with a focus on secure coding practices in languages like Python, C++, Rust, Go and Kotlin/Java. Conduct threat modeling, vulnerability assessments and security code reviews across different platforms, ensuring security is embedded at every stage of the development lifecycle. Provide mentorship, guidance, and training on security best practices and secure development processes to engineering teams working in mixed cloud and operating systems environments. Perform vendor security reviews to assess third-party security practices and ensure compliance with QRT’s standards. Integration of security scanning tools (SAST, DAST, etc.) into CI/CD pipelines and runtime environments to ensure continuous security monitoring and threat detection across Alibaba Cloud, AWS, Azure, and on-prem systems. Proactively identify security risks and develop strategies for risk mitigation in a fast-paced high-stakes environment. Your present skillset At least 7 years of experience in product security or similar roles with significant practical experience in securing software development at scale. Proven record of accomplishment in secure coding practices and development experience in development languages such as Python, C++, Rust, Go and Kotlin/Java. Strong technical background in software development, system architecture and security tools. Strong understanding of security principles, techniques and technologies related to software and product security, cloud platforms and business applications. Knowledge of low-latency financial systems would be an advantage. Experience working with and securing both Windows and Linux-based systems. Extensive experience with one or more cloud platforms such as AWS, Microsoft Azure and Alibaba Cloud used in a hybrid environment. In-depth knowledge of threat modeling, risk assessment and development of mitigation strategies for large-scale, complex systems in a fast-paced environment. Experience integrating security scanning tools into CI/CD pipelines and runtime environments. Experience conducting vendor security reviews and managing third-party security assessments. Excellent leadership, problem-solving, communication and adaptability skills, suited for a senior-level position 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: Paris, 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. 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 Senior Data Platform Engineer to join our DevOps team in Paris. This is a senior, hands-on role for an engineer who can challenge and reshape our existing infrastructure, set technical direction, and raise the bar across the team . 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 architecting reliable, scalable, and high-performance data platforms. You will bring an independent and critical perspective, identifying weaknesses in the existing stack, challenging current design decisions, and helping drive the technical roadmap. Your responsibilities will include: Owning the architecture, reliability, and performance of production data systems (ClickHouse, CockroachDB, Trino, etc.) Evaluating the existing infrastructure, identifying architectural gaps, and driving improvements Designing and operating database clusters on Kubernetes (via operators) at scale Setting standards and best practices for data pipelines (ingestion, transformation, replication) Driving and maturing Infrastructure-as-Code practices (Terraform, Helm) Operating and evolving storage and data platforms across on-prem (VAST) and AWS (S3, EMR, MSK, RDS, EKS) Establishing standards for Docker images and CI/CD workflows for data services Defining and maintaining AWS IAM policies, permissions, and security best practices Leading complex troubleshooting across the stack (databases, OS, storage, networking) Defining and improving observability practices (metrics, alerting, capacity planning) Mentoring engineers and collaborating with engineering, data, and research teams to influence technical decisions Your present skillset: 8+ years in DevOps, Data Platform Engineering, or similar, with experience owning production infrastructure at scale Deep production experience with distributed data systems (e.g. ClickHouse, Trino, EMR), including performance tuning and architectural decision-making Expert-level Kubernetes experience (stateful workloads, Helm, operators), ideally at significant scale Extensive Infrastructure-as-Code experience (Terraform, Helm, etc.), including defining standards and reusable patterns Strong knowledge of the AWS data ecosystem (S3, EKS, EMR, MSK, RDS) Deep understanding of AWS IAM and security best practices Hands-on experience with Docker and CI/CD pipelines Solid experience designing and operating data pipelines (Kafka, Spark, Airflow, etc.) Strong Linux fundamentals and scripting (Python and/or Bash) Deep understanding of database reliability (replication, backups, failover) Demonstrated ability to independently assess complex systems, challenge existing designs, and drive technical improvements Strong communication skills, with the ability to influence stakeholders and mentor other engineers Nice to have: OLAP / high-throughput systems experience at scale Experience with VAST Data or similar storage systems Familiarity with Iceberg, Delta Lake or Hudi Observability tools (Prometheus, Grafana, OpenTelemetry) GitOps tools (ArgoCD, Flux) CKA/CKAD or equivalent deep Kubernetes expertise Programming in Go, Rust, or Python Knowledge of Parquet/Arrow and query engines AWS certifications Prior experience in a technical lead or staff-level role 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 join the Network Engineering function responsible for the design, reliability, and optimisation of QRT’s wide-area network. The team supports large-scale routing infrastructure and collaborates closely with stakeholders across operations, systems engineering, and automation to ensure robust connectivity for global research and trading activities. Your Future Role within QRT Operate, troubleshoot, and enhance large-scale WAN environments to ensure availability and performance. Design, implement, and support MPLS-based solutions Configure and maintain routing services across multiple BGP address families. Design, implement, and troubleshoot multicast services using technologies such as MVPN. Analyse and validate MPLS label operations and end-to-end forwarding behaviour. Support TCP/IP-based services and traffic flows across a multi-site network footprint. Produce and maintain accurate technical documentation, including design artefacts and operational procedures. Collaborate with engineering and operations stakeholders to progress projects and BAU activities. Act as an escalation point for complex network issues requiring deep technical investigation. Your Present Skillset Strong operational experience with MPLS environments. Deep knowledge of: BGP (including EVPN, VPNv4, IPv4) MPLS forwarding and label distribution Multicast and MVPN Proficiency with at least one major routing platform (e.g., Arista, Cisco). Proven ability to troubleshoot complex MPLS, routing, and forwarding behaviour. Strong understanding of TCP/IP networking, QoS, routing protocols, and traffic engineering concepts. Experience working in environments with strict availability and reliability requirements. Useful additional experience includes: Network automation (e.g., Python) Model-driven networking CI/CD concepts applied to network configuration Telemetry and streaming-based monitoring approaches 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. The Network Infrastructure team designs, builds, and supports the networking environment that underpins QRT’s global technology platforms. The team ensures secure, scalable, and resilient connectivity across all regions and collaborates closely with Infrastructure, Security, and Engineering groups. Your Future Role within QRT You will take ownership of the Network Infrastructure team’s documentation and process library within Confluence. The role combines technical writing, content governance, and process analysis to ensure clarity, consistency, and continuous improvement in how information and workflows are structured. Review and assess existing Confluence documentation to identify outdated, duplicated, or unclear content Redesign and maintain a logical structure for the Confluence space Develop and apply documentation templates, naming conventions, and style standards Rewrite and consolidate content to ensure technical accuracy and consistency Define documentation ownership and review cycles Create supporting visual materials such as diagrams and flowcharts Work with Engineers and Project Managers to capture and document operational and delivery processes Identify inefficiencies and improvement opportunities within current workflows Contribute to the design and rollout of future-state processes Maintain process documentation to reflect changes in ways of working Your Present Skillset Proven experience as a Technical Author, Technical Writer, or in a documentation-focused role Experience documenting and improving technical or operational delivery processes Strong proficiency with Confluence, including content governance and structure management Ability to understand and communicate networking concepts clearly Experience collaborating with technical stakeholders to capture and translate information accurately Excellent written communication and attention to detail Experience leading or coordinating cross-team documentation or process initiatives Desirable/nice to have: Familiarity with Lean, Six Sigma, or continuous improvement methods Working knowledge of networking concepts (BGP, routing, firewalls, site connectivity) Exposure to workflow automation tools (e.g. Tines, n8n, Zapier) 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 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 ensures the stability, performance, and optimisation of QRT’s technology environment. The team collaborates with engineers, business stakeholders, and end users to troubleshoot issues, improve monitoring and instrumentation, and deliver solutions that support latency-sensitive trading platforms. Your Future Role within QRT Administer and support QRT’s instrumentation estate, primarily based on Corvil technology Analyse network and application latency, supporting troubleshooting efforts across trading platforms Investigate and resolve performance and platform issues, ensuring systems remain up to date and secure Contribute to BAU tasks, maintenance activities, and new project delivery Collaborate with colleagues and stakeholders to enhance processes and improve monitoring and instrumentation Your Present Skillset SME level knowledge of Corvil from a user and administrator perspective CCE / CPME qualification (advantageous) Automation experience (advantageous) Multiple years of experience of using and supporting Corvil in the financial space with a broad understanding of electronic trading Understanding of tap aggregation and time-stamping techniques Ability to contribute to troubleshooting efforts and latency analysis Effective collaborator who thrives in a team environment and enjoys knowledge sharing Strong documentation skills, ensuring systems and processes are clearly recorded and maintained Comfortable working in a fast-paced environment Base salary range for this position is $150,000 to $250,000 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. As part of our Research Platforms team, you will design and build the distributed systems that enable large-scale computational workloads to run efficiently, securely, and reliably across our global research infrastructure. This role sits at the intersection of distributed systems, platform engineering, and high-performance computing. You will work on the foundational services researchers depend on every day, including workload orchestration, scheduling, security, observability, and platform tooling. What You'll Do Design, build, and operate distributed services that manage compute workloads and data access across large-scale infrastructure Develop platform APIs and tooling that improve the productivity of quantitative researchers Improve the reliability, scalability, and performance of compute-intensive research workflows Build solutions for scheduling, resource management, observability, and security Partner closely with researchers and infrastructure teams to translate complex requirements into scalable platform capabilities Take ownership of systems end-to-end, from design and implementation through production operation What We're Looking For Required BS, MS, or PhD in Computer Science or a related field, or equivalent practical experience 5+ years of experience building and operating large-scale distributed systems in production Strong proficiency in C++, Java, Rust, Go, or similar systems languages Strong understanding of distributed systems, concurrency, performance, reliability, and fault tolerance Experience designing services, platforms, or infrastructure used by other engineers Preferred Experience with internal developer platforms, cloud infrastructure, orchestration systems, or HPC environments Familiarity with GPU-accelerated workloads and modern ML frameworks such as PyTorch or TensorFlow Experience supporting researchers, data scientists, or other highly technical users Exposure to quantitative finance or large-scale data-intensive environments Why Join QRT? Solve challenging distributed systems and infrastructure problems at scale Build platforms that directly accelerate research and innovation Work closely with world-class quantitative researchers and engineers Take ownership of critical systems in an environment that values technical excellence, autonomy, and impact 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: Amsterdam 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: We are seeking a Market Microstructure Researcher to help optimize exchange connectivity and interaction for our high-frequency trading strategies. You will analyse network and exchange protocols, automate performance metrics, and lead experiments to improve our trading operations, with a focus on latency-sensitive exchanges. Network & Protocol Analysis: Analyse network and exchange protocol captures to identify inefficiencies and improve communication performance Exchange Research & Liaison: Research exchange features, attend presentations, and communicate with exchange counterparts to gather insights Execution Optimization: Reverse-engineer trading systems and design and conduct experiments to improve fill rates Cross-team Communication: Collaborate directly with trading and research teams to ensure best application of findings and direct PnL impact Data Analysis: Effectively work with large and robust datasets to identify and resolve inefficiencies in internal execution systems and exchange communication Your present skillset: Degree in Computer Science, Engineering, or a related field 5+ years of experience in data analysis and/or low-level systems and network engineering Strong skills in Python and time-series analysis Understanding of network protocols such as TCP/IP and Ethernet Familiarity with market microstructure and low-latency trading is a plus Advanced networking and GNU/Linux knowledge is a plus 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 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 experienced DevOps Engineer to help design, build and maintain scalable, reliable pipelines and infrastructure supporting our technology, trading platform, and market access teams. You’ll also help set standards and best practices across teams, while building self-serve tooling that improves reliability and developer productivity. Your future role at QRT Design and implement development tooling and platform infrastructure to improve reliability and developer productivity Build, automate and continuously improve CI/CD pipelines and release processes Manage environment deployments, upgrades and migrations Partner with software engineers to ensure that development follows established processes and engineering standards and works as intended in production Build tools and APIs to reduce the occurrence of errors and improve user experience Develop software to integrate with internal back-end systems and their APIs Improve observability and operational readiness through improvements to monitoring, alerting and runbooks Your present skillset Experience operating infrastructure in hybrid environments (on-prem and AWS) Experience with Kubernetes (preferably AWS EKS) and AWS infrastructure (EC2, VPC/networking, load balancing) Good knowledge of Infrastructure as Code (Terraform, OpenTofu) Good knowledge of Windows & Linux scripting Good knowledge of Python Good knowledge of Git Working knowledge of C/C++, Make, CMake Experience working within a mature CI/CD highly desirable. Knowledge of monitoring tools like Prometheus, Grafana; Elasticsearch, Splunk, Coralogix Problem solving attitude with a focus on automation Strong team player with great communication skills QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees to achieve a healthy work-life balance.

Location: Amsterdam 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. QRT's High-Frequency Trading team designs and operates ultra-low-latency systems that run at global scale. We’re looking for experienced C++ engineers who care deeply about performance, efficiency, and the elegance of ultra-optimized systems. Your future role at QRT: You’ll work across our latency-critical stack - from kernel-level tuning and network optimization to highly efficient C++ components. This role involves close collaboration with our FPGA engineering team as well as our hardware and infrastructure engineers to design end-to-end architectures where every single nanosecond counts. Design and optimize C++ systems for trading, market data, and infrastructure Profile and fine-tune performance across CPU, cache, and memory layers Collaborate with FPGA engineers to integrate hardware and software pathways Your present skillset: 3+ years of experience in performance-critical C++ (C++17 or newer) Strong grasp of systems programming, low-level understanding including memory management and CPU's architectures Deep familiarity with Linux internals, kernel parameters, and low-level profiling Curiosity about hardware, networking, and how systems behave under real load 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 to achieve a healthy work-life balance.

Location: 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 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 a developer with 3-12 years of experience in a quant trading environment to work directly with traders and quant researchers. Your future role within QRT Key member to the success of high-frequency and low latency algo trading on APAC markets for Cash Equities and Futures markets Enrich and implement alpha and trading algorithms Implement specific market rules for the main Asian markets Collaborate with the traders and quant researchers on providing efficient research platform and tools Your present skillset Computer Science degree or equivalent Strong C++ 20/23 development experience on a Linux environment Interest in solving technical problems, along with ability to implement robust resilient and flexible solutions Familiar with HPC in Cloud environment, good level of Python Good communication skills in a dynamic and international 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: 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 motivated and versatile Production Support Engineer to join the HK office. This permanent role is ideal for candidates who thrive in dynamic environments, are eager to support multiple technology areas (Trading tools or Market Access), and possess a strong drive for both operational excellence and development innovation. Key Responsibilities Production Support (50%) Provide comprehensive user and system support across all technology streams. Monitor, maintain, and troubleshoot production systems to ensure stability and reliability, with a particular emphasis on data platforms and processes. Respond promptly to incidents and service requests, diagnosing and resolving issues affecting data flows, trading applications, and related infrastructure. Perform daily health checks and validation of trading and data systems before market open, ensuring all components are operational. Manage and support static and dynamic databases, including troubleshooting data integrity issues and performing routine maintenance. Coordinate with development and business teams to resolve “pretrade” related issues and implement fixes or enhancements. Support release management activities, including deployment, verification, and rollback procedures for data and trading applications. Maintain and update documentation for operational procedures, incident response, and data workflows. Ensure compliance with internal controls, regulatory requirements, and best practices for data management and system support. Participate in root cause analysis and post-incident reviews, focusing on continuous improvement of data stream reliability and performance. Collaborate with global support teams to share knowledge, escalate issues, and drive resolution of complex data stream problems. Support evening and weekend operations as required, ensuring critical data and trading systems remain available and performant. Development & Automation (50%) Design and implement automation tools to streamline operational workflows. Develop scripts and applications for data quality checks, monitoring, alerting, and recovery processes. Work on projects involving cloud technologies, CI/CD pipelines, and performance optimization. Required Skills & Experience 3+ years in a technical support role, ideally within trading/market access Experience with Python, Bash and PowerShell scripting (with or without Copilot). Experience with Windows desktop/server and Linux OS administration. Strong relational database skills (SQL Server, Postgres). Experience supporting trading platforms and infrastructure. Strong problem-solving and business analytics capabilities. Ownership mindset with a commitment to issue resolution. Excellent written and oral communication skills. Preferred Attributes Motivated to support diverse technology streams and learn new domains. Ability to work independently and as part of a global team. Proactive in identifying opportunities for automation and process improvement. Comfortable with fast-paced, high-pressure environments. Experience with AWS/cloud platforms, cloud monitoring and automation Experience with Crypto asset, Crypto market 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. Your future role at QRT: We are looking for an exceptional Software Engineer to be an integral member of the Data and Lifecycle team. We work closely with trading and research functions to provide trade and position lifecycle automations (corporate actions, expiries, coupon payments, etc), maintain reference data, handle internal and external reporting and generate reports for Front office use across different teams. This position has a specialized focus as an SME for Derivatives - Reference Data and Lifecycle . This high-visibility position will directly impact trading and business operations by providing expert guidance on equity-related reference data, events and automating complex lifecycle processes. Your responsibilities will include: Be involved in the design and implementation of scalable, high-performance solutions for trade and position lifecycle automations for derivative products, ensuring accuracy and operational efficiency. Ensure the availability and quality of reference data for different types of derivatives traded by QRT. Partner closely with a variety of stakeholders and maintain alignment with business needs. Your present skillset: 4+ years of work experience in a quantitative trading environment Deep understanding of derivatives (especially futures and options) with regards to reference data and the asset’s lifecycle events In depth knowledge of how derivatives are treated in different markets / exchanges. Advanced programming skills, with a drive for delivering strategic solutions. Programming language agnostic. Experience with Python or C# is a plus but should be willing to pick up. Familiarity with SQL and relational databases. Knowledge of testing as part of continuous delivery and integration pipelines. Excellent communication skills, and ability to collaborate effectively in a small, close-knit team. Fluency in English, both written and verbal communication skills QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

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. Your future role at QRT: We are looking for an exceptional Software Engineer to be an integral member of the Data and Lifecycle team. We work closely with trading and research functions to provide trade and position lifecycle automations (corporate actions, expiries, coupon payments, etc), maintain reference data, handle internal and external reporting and generate reports for Front office use across different teams. This position has a specialized focus as an SME for Equities, ETFs Reference Data and Corporate Actions . This high-visibility position will directly impact trading and business operations by providing expert guidance on equity-related reference data, events and automating complex lifecycle processes. Your responsibilities will include: Be involved in the design and implementation of scalable, high-performance solutions for trade and position lifecycle automations for corporate actions, ensuring accuracy and operational efficiency. Ensure the availability and quality of reference data for diverse asset types, with a particular emphasis on equities and corporate actions. Partner closely with a variety of stakeholders and maintain alignment with business needs. Validate systems and procedures related to reference data and corporate actions, ensuring robust trade/position checks and alignment with brokers and fund administrators. Your present skillset: Deep understanding of equities, ETFs and their derivatives with regards to reference data and corporate actions Advanced Python programming, design, and architecture. Familiarity with SQL and relational databases. Experience with C# is a plus Knowledge of testing as part of continuous delivery and integration pipelines. Excellent communication skills, and ability to collaborate effectively in a small, close-knit team. Fluency in English, both written and verbal communication skills QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

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 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 quantitative development function responsible for building QRT’s derivatives pricing library, with a particular focus on Rates Volatility. This is a front office role working closely with Traders and Quantitative Researchers across the full model lifecycle, from research and calibration through to implementation, testing and production integration. Your future role within QRT Design and develop Rates Volatility models within QRT’s derivatives pricing library Build and implement pricing models covering vanilla through exotic Rates products, including swaptions, Bermudan swaptions, caps and floors, and CMS Research, prototype and calibrate models including SABR, LGM and Cheyette Apply numerical methods including Monte Carlo and PDE techniques to pricing and model development Contribute to model documentation, validation and test coverage Collaborate with Traders and Quantitative Researchers on model development and trading requirements Work with technology and risk stakeholders to integrate models into production pricing infrastructure Your present skillset 10 to 15 years of experience as a Front Office Pricing Quant, with deep expertise in Rates Volatility Strong experience pricing Rates products across vanilla and exotic structures Experience with swaptions, including Bermudans, caps and floors, and CMS Strong knowledge of Rates Volatility models including SABR, LGM and Cheyette Experience applying Monte Carlo and PDE methods to derivatives pricing Strong understanding of derivatives pricing theory and stochastic processes Proven experience working directly with Traders on model development and calibration Advanced degree in Mathematics, Physics, Engineering, Computer Science or another quantitative discipline Strong C++ development skills, with knowledge of modern C++ beneficial Experience with algorithmic adjoint differentiation is beneficial Strong communication skills and a pragmatic, collaborative approach Willingness to mentor junior colleagues and contribute to knowledge sharing 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. #LI-DNI