Jobs at Qube Research & Technologies

Build scalable network automation applications across frontend and backend. Collaborate with network engineers and stakeholders to define requirements, implement modular UIs and services, maintain code quality, testing, CI/CD, documentation, and adopt best practices and tooling within Agile delivery.

Coordinates UK and international immigration, employee relocations, secondments, transfers, and repatriations. Manages external immigration, tax, and relocation providers; tracks visa deadlines and assignment milestones; maintains Workday records and mobility trackers; prepares reports; supports compliance audits, employee queries, policy implementation, and process improvements while handling sensitive information discreetly.

Develop and maintain production tools supporting voice and electronic trading execution across asset classes. Build dashboards and visualization tools, deliver features through rapid user feedback, own production stability and reliability, and evolve the technology stack to meet changing market requirements. Collaborate closely with front-office business users in a fast-paced quantitative investment environment.

Develop high-performance C++ applications for ETF market making and electronic trading. Build pricing, quoting, execution, and market data components; implement quantitative models; optimize latency, throughput, and resilience; and collaborate with quantitative researchers, traders, and engineers to support live trading systems.

Develop and maintain high-performance, reliable software systems and reusable infrastructure components. Solve complex challenges involving concurrency, memory management, system performance, and reliability. Own technical designs, contribute to architecture, investigate production issues, improve system robustness, collaborate with quantitative researchers and engineers, and support code reviews, testing, and engineering best practices.

Build and scale cloud observability platforms across AWS and EKS/Kubernetes. Develop telemetry collection, storage, routing, alerting, onboarding automation, service ownership integration, and PagerDuty workflows. Establish reusable standards for logs, metrics, dashboards, scrape targets, and alert rules while reducing operational toil. Partner with cloud, platform, observability, and service teams to drive adoption and ensure the platform remains reliable, scalable, and independently operable.

Leads the regional Network Operations team across EMEA and America, managing engineers, rotas, escalations, vendors, incidents, maintenance, and operational readiness. Oversees network service reliability, monitoring, alert quality, automation, SLIs, SLOs, KPIs, documentation, and continuous improvement. Coordinates major incidents and global follow-the-sun support while partnering with Infrastructure, Engineering, Trading, Security, and external connectivity providers. The role includes people management, hiring, coaching, on-call participation, out-of-hours escalation, and maintenance-window support.

Build and operate high-performance software for options trading, including low-latency execution engines, research tools, and analytics infrastructure. Collaborate closely with quantitative researchers and traders to deliver robust systems from concept through production. Apply modern C++ and Python alongside strong computer science fundamentals and knowledge of CPU architecture, memory, operating systems, and networking in a fast-paced trading environment.

Leads the global market data platform engineering team, managing people, reliability, data quality, scalability, infrastructure, delivery, troubleshooting, testing, observability, automation, and stakeholder coordination across trading, exchange, vendor, and technology environments.

Build and deploy cloud-native full-stack HR technology tools, secure APIs, middleware, data pipelines, and automated workflows. Develop React or Python Dash interfaces, Python and Kotlin services, and AWS integrations using S3, ECS, and Lambda. Implement testing, logging, monitoring, and error handling while translating HR needs into technical solutions. Ensure documentation, GDPR compliance, data privacy, and financial-services security standards when improving employee lifecycle processes.

Internship opportunities focused on HR data analytics and HR software engineering. Responsibilities include building AWS data pipelines, HR system integrations, full-stack applications, BI dashboards, automation services, APIs, monitoring, documentation, and secure data workflows. Interns collaborate with HR, analytics, engineering, and business stakeholders while applying Python, Kotlin, SQL, cloud technologies, and modern web frameworks. The program is designed for penultimate- or final-year bachelor's or master's students and may lead to a graduate role.

Interns will analyze financial, market, portfolio, and business data; develop prototypes, dashboards, visualizations, and analytical tools; support investment research; and evaluate AI agents and data applications. Tracks include Applied AI Engineering, Applied Data Science, and Investment Analytics. The role requires Python, data modeling, statistical analysis, clear communication, and the ability to solve open-ended problems in collaboration with developers and business stakeholders.

Surveillance Interns monitor global trading activity, review alerts, investigate potentially suspicious behavior, analyze order and trade data, and support market-abuse detection. They will help test surveillance thresholds, integrate markets and data sources, improve monitoring tools, build automation and data-quality controls, and collaborate with Compliance, Trading, Risk, and Technology teams.

Develop Python applications, quantitative tools, data pipelines, and cloud infrastructure supporting commodity trading and research across agriculture, metals, and energy. Build pricing, backtesting, risk, PnL, statistical modeling, and machine learning solutions; integrate alternative datasets; automate workflows; and maintain reliable research and trading systems while collaborating with researchers, traders, data engineers, and infrastructure specialists.

Build and operate AWS-based data pipelines, datasets, and analytics applications for business stakeholders. Integrate and validate internal and external data, develop BI views, maintain infrastructure through code and CI/CD, and contribute to LLM-powered projects. The role also involves documenting systems, using agentic coding tools, and translating ambiguous business questions into reliable data products and insights.

Manage end-to-end post-trade operations for futures and options, including trade booking, allocations, give-ups, reconciliations, lifecycle events, break resolution, margin support, and broker or exchange coordination. The role supports trading desks, improves operational workflows, and contributes to automation initiatives across listed derivatives operations.

Administer, secure, monitor, and optimize PostgreSQL databases across on-premises and cloud environments. The role manages backups, recovery, disaster recovery, high availability, capacity planning, upgrades, access controls, and performance tuning. It partners with engineers and business users to resolve database issues, translates requirements into solutions, automates administration tasks, and maintains operational documentation. Candidates need at least five years of production PostgreSQL administration experience plus Linux, SQL, scripting, security, and database operations expertise.

Design, deploy, configure, operate, and improve a bare-metal quantitative trading platform. Responsibilities include managing physical infrastructure, trading application environments, observability systems, and intent-driven platform management. Participate in on-call rotations, resolve critical production issues, collaborate with traders, researchers, developers, and service providers, and convert operational fixes into engineered solutions.

Evaluate and onboard macro financial datasets for quantitative research and trading. Assess data coverage, quality, consistency, APIs, and delivery mechanisms; develop Python tools and pipelines to extract, clean, normalize, and analyze data; investigate discrepancies across providers; improve dataset quality; and collaborate with researchers, traders, vendors, and engineering teams to automate reliable data integration.

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.