Jobs at Qube Research & Technologies

Supports and maintains QRT’s global Linux infrastructure for trading and research platforms. Responsibilities include high-availability systems administration, server lifecycle deployment, hardware and networking support, automation with Ansible, scripting in Python and Bash, monitoring, troubleshooting, and collaboration with users and engineering teams. The role also supports continuous improvement across a high-performance computing environment.

Designs and develops high-performance, low-latency C++ trading systems on Linux. Collaborates with traders, FPGA engineers, DevOps, systems administrators, and network engineers to optimize architecture and deployments. Responsibilities include coding, code reviews, debugging, profiling, performance tuning, system design leadership, mentoring engineers, and improving software development practices.

Designs, implements, governs, and modernizes enterprise PKI services, including CA hierarchies, HSM integration, certificate lifecycle automation, machine identity management, trust models, disaster recovery, and operational controls. Serves as the primary PKI subject matter expert, advising engineering, cloud, security, risk, audit, and operational teams while leading PKI programs and transformations.

Develop and maintain C#/.NET applications and infrastructure for real-time data delivery across trading, risk, compliance, and operations. Build scalable data flows, optimize architecture and memory usage, investigate production performance issues, and improve system reliability. Contribute to React and TypeScript user interfaces while collaborating with technical and business stakeholders on trading and operational workflows.

Design, build, and operate distributed software and data platforms supporting quantitative research across cloud and on-premises environments. The role focuses on reliable, efficient data access for large-scale compute workloads, data movement, performance, security, observability, and resilience. Responsibilities include developing services and tooling, collaborating with researchers and engineers, and owning systems from design through production operations.

Lead APAC employment and mobility tax matters, advising on international assignments, cross-border work, business travel, payroll withholding, social security, benefits, incentives, and tax compliance. Partner with HR, Payroll, Finance, Reward, local teams, and external advisors across jurisdictions. Oversee tax returns, shadow payroll, tax equalization, governance, controls, process improvements, and global People Tax projects.

Leads APAC Windows infrastructure engineering and the Hong Kong team. Designs, builds, supports, and automates Windows Server and Microsoft environments, including Active Directory, Azure, VMware, storage, backups, monitoring, Citrix, and Microsoft 365. Owns regional incidents, serves as the escalation point, coordinates technical teams, manages engineers, maintains documentation and standards, and communicates infrastructure risks and decisions to technical and business stakeholders.

Build and scale reliable systems for a high-performance trading platform. Responsibilities include automation for deployment, monitoring, operations, and incident response; ownership of observability across metrics, logs, tracing, and alerts; tool evaluation; on-call participation; incident leadership; postmortems; and root cause analysis.

Architect, engineer, and oversee delivery of complex corporate, colocation, and ultra-low-latency trading networks. Responsibilities include lifecycle management of switching, firewalls, load balancers, telemetry, CMDB, and automation platforms; designing software-driven network solutions; managing WAN traffic prioritization and steering; collaborating with project teams and vendors; and maintaining expertise in emerging networking technologies.

Develop quantitative foundations for a risk and PnL management platform supporting trading across asset classes. Build risk models, scenarios, performance attribution, pricing integrations, and scalable analytics infrastructure. Collaborate with traders, quantitative researchers, pricing quants, and technology teams to translate requirements into production systems for real-time risk and performance management.

Lead Linux platform engineering for high-performance trading and research infrastructure. Responsibilities include workload scheduling, large-scale systems management, high-performance filesystem operations, software lifecycle management, kernel and network performance tuning, troubleshooting complex system issues, infrastructure automation, CI/CD, observability, and container orchestration. The role partners closely with research and infrastructure teams and provides technical leadership, strategic insights, and proof-of-concept evaluations.

Design and maintain financial market, pricing, and reference datasets for quantitative researchers and traders. Build Python-based pipelines to extract, clean, normalize, aggregate, validate, and deliver data from multiple sources. Investigate data quality and production issues, improve workflow reliability, evaluate new data-processing approaches, and own production data workflows as business requirements evolve.

Develop and maintain compliance technology systems focused on market surveillance, regulatory reporting, data pipelines, automated controls, and integrations. Translate business and compliance requirements into production solutions, troubleshoot technical issues, implement surveillance scenarios, manage testing and releases, and improve automation, performance, and reliability. Collaborate with compliance, technology, developers, stakeholders, and external vendors while supporting systems across the trading and order execution lifecycle.

Provides technical leadership for a global quantitative development team, improves research software engineering practices, automates large-scale data preparation and cleansing, builds quantitative research tools, supports productionizing trading strategies, and evolves the software platform. Requires strong Python development, agentic software development proficiency, software quality practices, collaboration, communication, and 5–10 years of quantitative development experience.

Provides first-line technical support for production data processes used by researchers, traders, and business users. Monitors pipelines, investigates failures and data-quality issues, validates datasets, assesses business impact, coordinates resolution with engineering teams, and communicates updates to stakeholders. Maintains JIRA workflows, contributes to monitoring and documentation improvements, supports onboarding, and assists with live data collection and historical backfills.

Designs and maintains financial market, pricing, and reference datasets for quantitative researchers and traders. Responsibilities include developing Python-based extraction and data processing workflows, building automated production pipelines, validating and troubleshooting data quality, onboarding new data sources, and managing evolving production data requirements. The role requires strong financial markets knowledge, advanced Python and data engineering skills, and collaboration with trading and quantitative research stakeholders.

Designs, builds, and maintains infrastructure supporting quantitative research and trading platforms. Responsibilities include developing CI/CD pipelines, managing AWS and EKS infrastructure, maintaining Docker and Kubernetes environments, automating on-premises production systems, implementing monitoring and security practices, and improving deployment reliability across globally distributed teams.

Build and enhance quantitative trading framework software, design clean architectures, and support reliable high-performance systems. Responsibilities include alerting, incident response, on-call participation, performance analysis, root-cause investigations, automation, self-healing capabilities, and defining service reliability metrics. The role partners with development teams to instrument applications and establish measurable SLIs, SLOs, and SLAs.

Develop pre-trade and post-trade analytics tools for automated trading strategies. Build trader dashboards, analyze market and trading data, and deliver analytics for execution quality, transaction costs, risk, positions, and strategy performance. Collaborate with traders and quantitative researchers while contributing to platform architecture, testing, monitoring, code reviews, and continuous process improvement.

As a DevOps Engineer, you will ensure the reliability, scalability, and performance of database platforms, automate operations, and support Kubernetes adoption, while collaborating with engineering and data teams.