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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 at the intersection of financial markets, data science and engineering, supporting the discovery, evaluation and integration of financial datasets used across quantitative research and trading. The role combines technical expertise with an understanding of Macro markets, working closely with Quantitative Researchers, Portfolio Managers and Traders to translate business requirements into practical data solutions. You will engage directly with external data providers, assess existing data assets and identify opportunities to expand the firm's data capabilities. Your future role within QRT Collaborate with Quantitative Researchers, Portfolio Managers and Traders to understand their data requirements and identify suitable datasets for research and trading strategies Evaluate existing data assets and external vendor offerings, assessing coverage, quality, consistency and suitability for specific financial applications Manage the discovery, evaluation and onboarding of new datasets, with a focus on Macro markets, including Rates, bonds, swaps, derivatives and alternative data Engage directly with external data providers to understand their offerings, assess APIs and investigate data availability, structure and delivery mechanisms Develop Python tools and data pipelines to extract, clean, normalise and analyse financial datasets from multiple sources Investigate discrepancies across data providers, including differences in instrument identifiers, pricing conventions, timestamps and reference data Maintain and improve the quality and consistency of existing datasets, proactively resolving issues and identifying opportunities to enhance data coverage Collaborate with engineering teams to automate data ingestion, validation and integration processes, ensuring reliable delivery into research and trading environments Your present skillset Minimum 2 years of relevant professional experience in Data Science, Data Analysis, Data Engineering or a similar role within financial markets Practical understanding of financial markets and instruments, with exposure to Macro, Fixed Income, Rates, Credit or related asset classes Strong Python programming skills, including experience with data analysis libraries such as Pandas and NumPy Good SQL skills and experience working with structured financial datasets Experience sourcing, analysing and processing financial data, with an understanding of data quality, validation and consistency across multiple sources Ability to understand financial concepts and communicate effectively with Quantitative Researchers, Portfolio Managers, Traders and external data vendors Strong analytical and problem solving skills, with the ability to investigate unfamiliar datasets and identify appropriate solutions independently Familiarity with external data providers, financial data platforms and API integration Ability to manage competing priorities, take ownership of data initiatives and collaborate effectively across technical and business functions Degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, Physics, Engineering or Finance; a postgraduate qualification is beneficial Experience developing data pipelines, automating data workflows or supporting production data infrastructure is beneficial Knowledge of financial data concepts such as yield curves, instrument reference data, market data and pricing conventions is advantageous QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Singapore Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. Your future role within QRT Provide first- and second-line support for LLM gateway platform, investigating and resolving issues raised by engineering and business users across the firm Monitor and maintain the platform's underlying infrastructure to ensure availability, stability and predictable performance under rapidly growing load Support and troubleshoot model-serving backends and provider integrations, model providers, covering latency, throughput, error-rate and capacity issues Triage incidents affecting model availability — provider instability, connection resets, timeouts, regional slowness — determine whether the cause is platform-side or upstream, and drive to resolution with vendors where required Support the tooling layer built on top of LLM gateway: integrations, developer workspaces (e.g. Coder), coding assistants and API clients, including diagnosing issues introduced by upstream vendor releases running against a gateway-fronted API Coordinate with platform engineering, cloud infrastructure and end-user teams to resolve incidents and minimise disruption Support release management and change processes to keep production stable, including staged rollouts, non-prod validation and rollback Build tooling and automation to improve monitoring, diagnostics and operational visibility, and to reduce repetitive manual work Contribute to the design and implementation of monitoring, dashboards and alerting — for example extending Grafana dashboards covering TTFT, TPOT, percentile latency and failure-rate reporting Own and improve operational documentation, runbooks and user-facing status communication Your present skillset Experience in a production support, SRE or platform operations role within a fast-paced environment, with strong ownership of issue resolution end to end Strong Linux and Windows system administration skills Proficiency scripting and automating in Python, Bash and/or PowerShell Solid experience with relational databases such as PostgreSQL or SQL Server, including writing queries for investigation and supporting routine operational processes Practical understanding of monitoring and observability: metrics, logs, traces, dashboards and alerting, and the ability to analyse system data to distinguish a platform-wide problem from a localised one Comfortable debugging distributed, API-driven services: HTTP status and error semantics, timeouts, retries, connection resets, rate limiting, caching and latency percentiles Familiarity with large language model concepts and hosting environments — inference APIs, model gateways/proxies, prompt and context handling, token accounting, streaming responses, prompt caching Exposure to public cloud, ideally AWS (Bedrock, networking, IAM, logging/metrics), and to containerised or Kubernetes-based workloads Ability to communicate clearly with both engineers and non-technical users, and to manage expectations of senior stakeholders during live incidents Awareness of data-sensitivity and access-control considerations when routing workloads to third-party model providers Beneficial Experience supporting developer tooling and AI coding assistants (e.g. Claude Code, OpenCode) or IDE/workspace platforms Experience with Grafana, Prometheus or equivalent observability stacks, including building dashboards and alert rules Experience with CI/CD and infrastructure-as-code (Terraform, Ansible, or similar) Experience operating multi-region services and troubleshooting region-specific performance issues (e.g. APAC latency) Experience acting as the operational interface to third-party vendors and cloud providers during degradations 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 on internal applications and infrastructure that deliver data from core services and APIs to a multitude of users across Trading, Risk, Compliance, Regulatory Reporting, Operations and Support. The role focuses primarily on C# development, building scalable systems that provide accurate and timely data for trading and operational workflows, alongside contributing to user interfaces developed using React and TypeScript. Your future role within QRT Design, develop and maintain C# applications and infrastructure supporting real time data delivery across the business Build scalable services and data flows for trade entry, positions, order monitoring, execution, risk and PnL workflows Optimise application architecture, memory management and resource utilisation to improve scalability and reliability Investigate and resolve production issues involving data quality, latency, throughput and system performance Take ownership of technical decisions and continuously improve existing systems in response to evolving business needs Develop and enhance user interfaces using React and TypeScript in collaboration with other engineers Collaborate with Trading, Risk and operational stakeholders to understand requirements and deliver practical technical solutions Your Present Skillset Minimum three years of professional software engineering experience, with strong C# and .NET development skills Experience designing, developing and supporting real time applications and data intensive production systems Strong understanding of software engineering fundamentals, including data structures, memory allocation, garbage collection and concurrency Experience investigating performance bottlenecks and implementing improvements to application reliability and efficiency Ability to work autonomously, make informed architectural decisions and take ownership of complex technical problems Experience with React, TypeScript, JavaScript, WPF, WinForms or similar user interface technologies is beneficial Strong communication and collaboration skills, with the ability to work effectively with technical and business stakeholders Familiarity with AWS, C++, real time messaging technologies, WebSockets or SignalR is advantageous Exposure to financial markets, trading systems or risk management applications is beneficial QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: London 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 Data Engineering team, which builds software that enables Quantitative Researchers to access and use data across cloud and on-premises computing environments. The team works with other engineering groups to support data-intensive research workloads. Your Future Role within QRT You will: Design, build and operate distributed software that manages data across research environments. Enable reliable and efficient data access for large-scale compute workloads. Address challenges involving data movement, locality, performance and scale. Develop services and tooling used by Quantitative Researchers and engineering teams. Improve the security, observability and resilience of data systems. Work with researchers and engineers to understand requirements and deliver practical solutions. Own systems from design and implementation through production operation. Your Present Skillset At least five years of experience building and operating production software systems. Strong software engineering skills in Go, Python, C++, Rust, Java or a similar language. Experience designing distributed systems at scale, with an understanding of performance, concurrency, fault tolerance and reliability. Experience building services or platforms used by other engineers. Knowledge of large-scale storage, data movement, or data-intensive computing workloads. Understanding of how storage and networking affect distributed system performance. Experience working across cloud and on-premises environments. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: 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 the Lead Windows Platform Server Engineer for APAC, you will be the senior technical lead for QRT’s Windows Server and Microsoft infrastructure across the region. This is a hands-on engineering role with responsibility for designing, building and supporting the infrastructure underpinning our research, trading and data-processing platforms. You will also lead the day-to-day technical activities of the Hong Kong team and act as the primary escalation point during APAC hours. You will take ownership of regional incidents and complex technical issues, coordinating teams and driving problems through to resolution. Responsibilities Manage the Windows Infrastructure team in Hong Kong and act as the senior infrastructure escalation point for APAC reporting into the Windows Infrastructure Global Lead. Design, build and support Windows Server 2022/2025 environments. Support Active Directory, Group Policy, DNS and Entra ID integration. Support VMware ESXi, storage, backups, monitoring, Citrix DaaS, Azure, Microsoft 365 and Intune. Automate platform management using PowerShell, Ansible and Terraform. Work with SAN/NAS storage, Veeam, Splunk and other enterprise infrastructure platforms. Work with global teams while representing APAC infrastructure requirements. Understanding of general Windows Desktop builds and troubleshooting Lead critical incidents and coordinate technical resources through to resolution. Build effective relationships with regional business leaders, technology teams and global engineering colleagues. Ensure effective handovers and communication between APAC, UK and US teams. Maintain technical documentation, operational procedures and architecture standards. Your present skillset Extensive enterprise Windows Server and infrastructure engineering experience. Strong Active Directory, Group Policy and DNS expertise. Advanced PowerShell and infrastructure-automation skills. Strong VMware ESXi, networking and storage knowledge. Experience with Azure, Entra ID, Microsoft 365, Intune and Citrix DaaS. Proven experience formally managing engineers, including objectives, appraisals, development and performance management. Strong incident leadership, decision-making and troubleshooting skills. Confidence communicating with senior stakeholders during incidents and periods of change. Excellent written and verbal communication skills. Ability to explain technical issues, risks and decisions clearly to technical and non-technical audiences. Ability to give clear direction, constructive feedback and difficult messages when required. 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. 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: 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 seeking a Security Engineer to help shape and deliver QRT's Identity Governance (IGA), Privileged Access Management (PAM), and Secrets Management capabilities. This is a hands-on engineering role requiring strong technical depth, stakeholder management, and the ability to influence change across the organisation. You will work with both technical and non-technical stakeholders to develop scalable identity and access management solutions, drive adoption of security best practices, and improve the maturity of IAM as a security discipline across QRT. Responsibilities Own and continuously improve QRT's IGA, PAM, and Secrets Management capabilities. Build strong relationships with Infrastructure, Engineering, HR, and business stakeholders to understand requirements and drive outcomes. Lead identity and access initiatives from conception through to delivery, influencing stakeholders and driving adoption. Design and implement solutions for identity lifecycle management, privileged access, authentication, and secrets management across on-premises and cloud environments. Design and implement role-based access control (RBAC) models and policies within the IGA Tool. Support uplift and maintenance of Active Directory (AD) groups to align with governance policies. Integrate secrets management platforms with CI/CD pipelines, cloud services, and enterprise applications. Develop automation and Infrastructure-as-Code / Identity-as-Code solutions to improve security, governance, and operational efficiency. Develop automation and integrations to improve security, governance, and operational efficiency. Provide guidance on IAM principles, governance models, standards, and best practices. Support access reviews, audits, investigations, and risk management activities. Act as a subject matter expert for identity-related technologies, processes, and controls. Skills & Experience 5-10 years' experience in Identity & Access Management, Security Engineering, or a related discipline. Strong understanding of Identity and Access Management principles, methodologies, governance, and operating models. Experience delivering IGA, PAM, and Secrets Management capabilities in complex enterprise environments. Experience working across both on-premises and cloud environments, integrating identities, applications, and access controls across hybrid platforms. Hands-on engineering experience implementing, integrating, and automating security technologies. Ability to engage effectively with both technical and non-technical stakeholders and influence decision-making at all levels. Proven ability to take ownership, drive initiatives, and deliver outcomes with minimal supervision. Strong understanding of identity lifecycle management, least privilege, RBAC, access governance, authentication, and privileged access management. Strong hands-on experience with platforms such as SailPoint (ISC), Delinea, CyberArk, HashiCorp Vault, or similar technologies. Strong automation-first mindset and experience applying Infrastructure-as-Code and Identity-as-Code practices Excellent communication, stakeholder management, and problem-solving skills. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: New York Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. The successful candidate will join QRT’s established Data Centre Operations team. Working closely with Network Engineering and wider infrastructure teams, you will help deploy, maintain and support the physical technology infrastructure used across QRT’s global data centre locations. Your Future Role within QRT Support the physical installation, maintenance and decommissioning of servers, network switches and other data centre equipment. Rack, stack, cable and label equipment to a consistently high standard. Support the deployment and maintenance of low-latency infrastructure used to support QRT’s high-frequency trading environments Install and manage copper, fibre and power cabling, including patching between devices and patch panels. Carry out hardware break-fix activities, including replacing failed components, cables, optics, power supplies and other parts. Assist with new equipment deployments, upgrades, capacity expansions and site decommissions. Complete basic hardware checks and troubleshooting on servers, switches, power equipment and connectivity. Work from build documents, rack elevations, patching schedules and technical instructions. Support hardware deliveries, stock management, spare parts, equipment movements and site logistics. Work with colocation providers, vendors, remote hands and onsite engineers to complete planned and reactive work. Help maintain high standards of data centre cleanliness, cabling, labelling, security and general operational discipline. Support planned work and break-fix activities across QRT’s global data centre environment. Take part in out-of-hours and weekend work where required, including planned changes, deployments and urgent break-fix activities. Participate in an out-of-hours on-call rota once suitable training and experience have been completed. Your Present Skillset: Some experience working in a data centre, IT infrastructure, network operations, hardware support or similar technical environment. Experience supporting low-latency, high-frequency trading or other business-critical infrastructure would be advantageous. Hands-on experience installing or supporting servers, network devices, cabling or other IT hardware. Basic understanding of servers, network switches, fibre, copper cabling and power connections. A practical and methodical approach to physical work, troubleshooting and problem solving. Strong attention to detail, particularly around cabling, labelling, documentation and build quality. Comfortable following technical instructions, procedures and change plans. Able to work safely and carefully within live data centre environments. Good communication skills and willingness to work with internal teams, vendors and third-party engineers. Organised and comfortable managing tasks, equipment, stock and documentation. Willingness to learn new technologies and develop broader knowledge of data centre infrastructure. Comfortable working as part of a globally distributed team. Willingness to travel internationally when required. Flexibility to carry out evening, overnight and weekend work when needed. Willingness to participate in an out-of-hours on-call rota after completing the required training. Base salary range for this position is $150,000 to $180,000 per year. QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.

Location: London Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped 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: The successful candidate will join the global infrastructure team at QRT. You will be responsible for architecting, engineering and subsequent delivery oversight across all aspects of the QRT network estate but with particular focus on our colocation infrastructure. The trading infrastructure is a combination of wide area connectivity and ultra low latency trading infrastructures. Scope of the team is to deliver network solutions which enable full lifecycle management (architect, design, build, operate, retire) for our network components across core network switching, firewalls, load balancers, instrumentation/telemetry, network CMDB and automation. It is crucial that any candidates must be able to demonstrate delivery of complex networks, at scale, which have been delivered through a software and automation driven mindset. You will have deep knowledge of high-performance networking including detailed knowledge of the product capabilities and roadmaps from the likes of Cisco, Arista and Fortinet. You will have direct experience of delivering and managing network solutions supporting corporate infrastructure and exchange specific ultra low latency infrastructure with associated automation, telemetry and instrumentation frameworks. Your present skillset: As a senior network engineer, you will partner closely with the project management teams and work in a highly collaborative manner within the network team and the wider organisation You will be member of an existing engineering team where you have direct responsibility and accountability for a complex and high-performance network infrastructures You will be able to demonstrate expert knowledge of delivering complex network architectures delivered via software driven and agile methodology You will have deep knowledge of delivering networks supporting high-performance and low latency computing architectures You will have deep knowledge of the network vendor ecosystem and be able to demonstrate building engineering relationships at senior layers with vendor product and engineering teams You will stay informed on industry trends and emerging technologies to ensure the network infrastructure remains cutting-edge You will have knowledge of wide area network engineering focused on traffic prioritisation and steering.  It would be good to have experience of Segment Routing. QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: 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 on the quantitative foundations of QRT’s risk and PnL management platform, supporting trading and risk management across multiple asset classes and strategies. The role combines quantitative development, risk modelling and systems engineering, with a focus on building the models, analytics and infrastructure required for real time risk and performance management. You will work closely with Traders, Quantitative Researchers, Pricing Quants and Technology stakeholders to support live trading and risk decisions. Your future role within QRT Design and implement the quantitative foundations of a new risk and PnL management platform Develop risk models and scenarios across multiple asset classes, including risk frameworks, market representations and performance attribution Integrate derivatives pricing libraries and quantitative models into the broader risk management platform Collaborate with Traders and risk stakeholders to develop risk models and scenarios for live trading strategies Build scalable quantitative components capable of supporting complex calculations across large portfolios Work with Technology stakeholders to integrate pricing, risk and scenario analytics into production systems Contribute to the architecture and evolution of the platform as risk and trading requirements develop Your present skillset 5 to 10 years of relevant quantitative development experience, with deeper experience considered for profiles closely aligned with the role Undergraduate or postgraduate degree in a quantitative field such as Mathematics, Computer Science, Physics, Engineering or similar Front office quantitative experience within a bank, hedge fund or comparable financial markets environment Hands on experience developing risk management, pricing, valuation or quantitative analytics systems Strong understanding of derivatives payoffs, valuation and risk, together with data structures, algorithmic complexity and performance optimisation Strong Python development skills combined with production experience in C++, C# or another compiled language Experience designing quantitative systems that support multiple asset classes or complex trading strategies Ability to work directly with Traders, Quantitative Researchers and risk stakeholders to translate requirements into production solutions Strong communication skills with a pragmatic and collaborative approach to problem solving Experience with modern AI assisted development tools such as Claude or Codex is beneficial QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: 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. You will work within a data focused function supporting Quantitative Researchers, Traders, and other stakeholders across the firm. The role focuses on designing and developing financial datasets that support systematic strategies and trading decisions, with particular emphasis on market data, pricing datasets, and reference data. You will combine financial market knowledge with Python and data engineering skills to build and own the automated production pipelines that create and maintain these datasets. Your future role within QRT Collaborate with Quantitative Researchers and Traders to design financial datasets that support systematic strategies and trading decisions Develop Python code to extract, clean, normalise, and aggregate data from a range of financial market data sources Design, build and maintain automated data pipelines covering sourcing, extraction, transformation, validation and delivery Develop and maintain pricing and reference datasets across financial instruments and markets Investigate and resolve data quality and production issues to improve the reliability and availability of datasets Evaluate and implement new approaches to data extraction, processing and onboarding Take ownership of production data workflows and evolve them as data requirements, systems and business priorities change Your present skillset 2 to 5 years of experience in a data focused role working with financial or market data Strong understanding of financial markets and instruments, including the behaviour and characteristics of pricing and reference datasets Advanced Python programming skills, including experience with data processing libraries such as Pandas or Polars Experience designing, building and maintaining automated production data pipelines Strong data analysis and problem solving skills, with the ability to investigate data quality issues and understand their underlying causes Experience working with market data platforms and APIs from providers such as Bloomberg or LSEG is beneficial, including products such as Datastream, DataScope Select, Real Time, BPIPE or Data License Postgraduate degree in Mathematics, Physics, Engineering, Computer Science or another quantitative discipline Strong communication skills with the ability to collaborate effectively with Quantitative Researchers, Traders and other stakeholders Ability to operate effectively as priorities, systems, projects and business requirements evolve 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: Dubai Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. As a Senior Quantitative Developer, you will work in a close-knit global team of Multi-Asset Quant Developers and Researchers, collaborating to enhance our research platform in a fast-evolving environment. You will directly contribute to the team’s success by recommending innovative software solutions and building new tools and systems. Your future role within QRT Provide technical leadership and help raise engineering standards across the team Improve software engineering practices across research workflows, including the effective adoption of agentic coding tools and workflows Automate and streamline large-scale data preparation and cleansing workflows Build, enhance, and support quantitative research tools Help Quant Researchers bring trading strategies into production Continuously evolve the team’s software platform to meet changing business needs Your present skillset 5–10 years of quant development experience High standards for code quality, testing, and maintainable software design Strong Python development skills and proficiency with agentic software development Ability to multitask, prioritize projects, and collaborate effectively Strong communication skills and ability to thrive in a fast-paced environment QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: Sydney Data Support Engineer – Sydney Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager operating across all liquid asset classes worldwide. We are a technology- and data-driven organisation applying a scientific approach to investing. By combining data, research, technology and trading expertise, we foster a collaborative environment that enables us to solve complex challenges. Our culture of innovation drives our ambition to deliver high-quality returns for our investors. Your future role at QRT We are looking for a technically capable Data Support Engineer to join our global Data Science and Analytics function in Sydney. The team is responsible for ensuring that the extensive datasets and production data processes relied upon by QRT’s quantitative researchers, traders and other business users remain accurate, reliable and available when needed. As part of the global support team, you will monitor data processes, investigate production issues and coordinate an effective response when data is missing, delayed or does not meet the expected quality standards. You will work closely with data engineers, researchers, traders and other stakeholders to understand the impact of an issue, identify the appropriate technical owners and keep affected users informed through to resolution. The Sydney position will play an important role in strengthening DSA’s support coverage across the APAC region and bridging the global handover between EMEA and Hong Kong. Your responsibilities will include: Providing first-line technical and data support to quantitative researchers, traders and other data users. Monitoring production data processes and responding to automated alerts relating to failures, delays and data-quality issues. Investigating incidents across data pipelines, including input, transformation and output failures. Validating data for completeness, accuracy, timeliness and expected characteristics. Assessing the potential business impact of data issues and prioritising incidents appropriately. Collaborating with data engineers and other technical teams to diagnose problems and coordinate their resolution. Communicating clearly with affected users and providing timely updates throughout an investigation. Building an understanding of data flows, dependencies, ownership and downstream consumers. Managing support requests and workflows through JIRA, ensuring issues are tracked through to resolution. Contributing to monitoring, alerting, documentation and continuous process improvement. Supporting the onboarding of new team members and helping users understand QRT’s data tools and processes. Contributing to the extension of data coverage, including live data collection and historical backfills. You will gain exposure to a broad range of financial and alternative datasets, including market and reference data, company information, economic data, text-based datasets and other data used to support QRT’s systematic investment activities. Your present skill set A Bachelor’s degree in Computer Science, Data Science, Engineering, Finance or another relevant discipline. Experience in data support, production support, application support or another technically focused support environment. Strong Python skills, including experience using Python to manipulate, investigate and validate data. Experience working with data systems, automated pipelines and APIs. Exposure to large datasets or high-volume production environments. Strong analytical and problem-solving skills, with the ability to investigate issues methodically. Excellent attention to detail and a strong appreciation for data quality and accuracy. Clear communication skills and the ability to work effectively with both technical and business stakeholders. Sound judgement when prioritising incidents, escalating issues and communicating potential impact. Curiosity and a genuine interest in understanding how data processes and systems work. The ability to remain effective in a fast-moving environment where processes, priorities and ownership may evolve. Experience in financial services, quantitative trading or market data would be beneficial but is not essential. Experience using JIRA or a similar workflow-management tool would be advantageous. QRT is an equal opportunity employer. We value diversity as an essential part of our success and empower our employees to work openly and respectfully towards collective goals. Alongside professional development and achievement, we offer initiatives and programmes that support employees in maintaining a healthy work-life balance.

Location: Paris Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors. You will work within a data focused function supporting Quantitative Researchers, Traders and other stakeholders across the firm. The role focuses on designing and developing financial datasets that support systematic strategies and trading decisions, with particular emphasis on market data, pricing datasets and reference data. You will combine financial market knowledge with Python and data engineering skills to build and own the automated production pipelines that create and maintain these datasets. Your future role within QRT Collaborate with Quantitative Researchers and Traders to design financial datasets that support systematic strategies and trading decisions Develop Python code to extract, clean, normalise and aggregate data from a range of financial market data sources Design, build and maintain automated data pipelines covering sourcing, extraction, transformation, validation and delivery Develop and maintain pricing and reference datasets across financial instruments and markets Investigate and resolve data quality and production issues to improve the reliability and availability of datasets Evaluate and implement new approaches to data extraction, processing and onboarding Take ownership of production data workflows and evolve them as data requirements, systems and business priorities change Your present skillset 2 to 5 years of experience in a data focused role working with financial or market data Strong understanding of financial markets and instruments, including the behaviour and characteristics of pricing and reference datasets Advanced Python programming skills, including experience with data processing libraries such as Pandas or Polars Experience designing, building and maintaining automated production data pipelines Strong data analysis and problem solving skills, with the ability to investigate data quality issues and understand their underlying causes Experience working with market data platforms and APIs from providers such as Bloomberg or LSEG is beneficial, including products such as Datastream, DataScope Select, Real Time, BPIPE or Data License Postgraduate degree in Mathematics, Physics, Engineering, Computer Science or another quantitative discipline Strong communication skills with the ability to collaborate effectively with Quantitative Researchers, Traders and other stakeholders Ability to operate effectively as priorities, systems, projects and business requirements evolve QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.

Location: London QRT is a global quantitative and systematic investment manager, operating across all liquid asset classes. We are a data- and technology-driven organization applying scientific methods to investing. Our collaborative culture and focus on innovation enable us to solve complex challenges and deliver high-quality returns for our investors. The Spark Team builds and supports the energy trading business, which is active globally across gas, power and emissions markets. The Spark platform encompasses the purchase and sale of physical commodities and associated derivatives, the nomination of volumes to pipelines and transmission networks, and the ongoing management of the resulting positions and risk. Your future role within QRT We are seeking a Full Stack Engineer to work in close collaboration with the trading desk and wider business, translating requirements into delivered functionality across the full breadth of the Spark platform. The successful candidate will assume responsibility for work from end to end. The role is expected to involve the following activities: Engage directly with traders, operations staff and other business users to understand their requirements and shape them into deliverable work. Implement features end to end across the Spark platform, encompassing interfaces, data models and the screens upon which users depend. Extend the platform to support new trading locations, markets and products as the business expands. Maintain and improve the existing estate as a long-lived production system. Contribute alongside colleagues to the platform’s technical direction and the standard of the codebase. Take genuine ownership of work from the first conversation through to production. Work within a small team that maintains high engineering standards, with limited process between the engineer and deployment. Your present skillset Substantial commercial experience in the design and delivery of full stack applications. Strong command of programming and computer science concepts, preferably in a low-level language. Proficiency in modern browser-based JavaScript, including ES modules, web components and data-intensive interfaces. Sound working knowledge of SQL and relational and analytical databases. Demonstrable ability to work directly with non-technical colleagues and translate an imprecise request into a clear and testable requirement. Desirable to have experience or a willingness to learn in the following areas Python, Rust, JavaScript and HTML. AWS and the deployment of distributed environments. ClickHouse or another columnar or analytical database. AG Grid or comparable data-grid technologies. Front-end frameworks, including Alpine.js and FAST Element web components. Commodities, energy or financial markets. Prior exposure is advantageous but not required, as the domain can be taught. 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. As a Senior DevOps Engineer at QRT, you will be a key player in designing, building and maintaining the infrastructure that powers our quantitative research and trading platforms. You will work closely with developers and quantitative researchers to ensure seamless CI/CD pipelines, robust automation and scalable deployment strategies. Your future role within QRT Building and maintaining environments for Python development, ensuring optimal performance, compatibility and security Developing and maintaining CI/CD pipelines to enable rapid and reliable software delivery across multiple environments Architecting and maintaining cloud infrastructure on AWS, with a strong focus on EKS (Kubernetes) for container orchestration Ensuring the stability and security of on-premises production systems, including infrastructure automation and monitoring Implementing and managing automation tools to improve operational efficiency and reduce manual intervention Collaborating with globally distributed teams, ensuring smooth communication and coordination between teams in different time zones Driving best practices in DevOps, infrastructure as code (IaC) and security compliance Your present skillset Strong experience in CI/CD pipeline development and deployment automation Proficiency with container orchestration tools such as Kubernetes (EKS) and Docker Expertise in Infrastructure as Code (IaC) using tools like Terraform or CloudFormation Strong background in AWS services, including EC2, S3, Lambda and networking components Hands-on experience managing on-premises production systems, ensuring high availability and scalability Proficiency in monitoring, logging and security best practices for cloud and on-prem environments Excellent English communication skills to effectively coordinate across teams in different locations Ability to document workflows, troubleshoot issues and provide clear technical explanations A proactive mindset, capable of driving process improvements and automation initiatives 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 A key member of the development team, building and enhancing key components for QRT Building and supporting new quantitative trading framework software Designing clean architecture and leveraging state of the art tools and components Alerting: Define alert thresholds, reduce alert noise, and ensure actionable and meaningful alerts Incident Response: Develop and optimize on-call processes and incident response playbooks. Participate in the on-call rotation Service Reliability: Analyze system performance metrics and conduct root cause analysis for outages and degradations Automation: Automate response to common issues and improve self-healing capabilities Collaboration: Partner with development teams to instrument applications and ensure SLIs/SLOs/SLAs are well-defined and tracked Your present skillset 2-10 years’ professional experience Advanced skills in one or several programming languages Strong Python skills for automation and scripting, very high standards in code quality and good development practices Knowledge of real-time systems, high performance computing and quantitative applications an advantage Familiarity with container orchestration (e.g., Kubernetes) and cloud platforms (AWS specifically is a plus) Experience working in a high-availability, low-latency 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 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 Quantitative Developer to contribute to the development of analytics tools supporting automated trading strategies. You will work closely with quantitative researchers, traders, and other technology teams to design and deliver solutions covering the entire trading lifecycle, from pre-trade analysis and real-time monitoring to post-trade performance and execution analysis. This role combines quantitative development, data analysis, and full-stack engineering. It offers a high level of autonomy and direct exposure to trading activities. Your future role within QRT Design and develop pre-trade and post-trade analytics tools for automated trading strategies Build intuitive dashboards for traders and quantitative researchers Develop analytics related to execution quality, slippage, transaction costs, positions, risk and strategy performance Process, analyse, and visualise large volumes of market and trading data Close collaboration with traders and quantitative researchers to understand their needs and turn them into reliable, scalable solutions Contribute to the architecture and continuous improvement of the analytics platform Ensure the quality, reliability and maintainability of applications through testing, monitoring and code reviews Proactively identify opportunities to improve existing tools and development processes Your present skillset Strong proficiency in Python Solid knowledge of TypeScript Strong experience with Vue.js and modern front-end development Knowledge of AWS cloud services would be a plus Familiarity with CI/CD pipelines and automated deployment practices (GitLab) Experience designing APIs and data-driven applications Good understanding of software engineering principles, testing and version control Experience with financial markets, quantitative analytics or electronic trading would be an advantage Ability to work autonomously and take ownership of projects Excellent communication and collaboration skills Proactive, pragmatic and solution-oriented mindset Strong focus on delivery, reliability and user experience 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.