Jobs at Hong Kong Exchanges

Build and maintain batch and streaming data pipelines, lakehouse storage, query-serving systems, orchestration workflows, observability dashboards, Kubernetes deployments, and CI/CD processes. Develop reliable code using Spark, Kafka, Iceberg, SQL, Python, and related data technologies. Troubleshoot pipeline, infrastructure, and data quality issues; document systems; participate in code reviews and agile ceremonies.

Develop and maintain resilient, high-throughput Java services for the LMEsmart inter-office trading platform. Build automated testing frameworks, integrations, recovery workflows, and real-time performance reporting. Optimize JVM applications, manage test environments, support distributed systems and data streaming, and deploy cloud-native solutions using containers and Kubernetes. Collaborate with IT and business stakeholders while documenting application and infrastructure designs and improving DevOps and security practices.

A 24-month graduate development programme at HKEX offering rotations and career pathways across strategy, markets, finance, HR, communications, listing, compliance, audit, IT, and operations. Associates contribute to initiatives supporting financial-market growth, integrity, and technology enablement while developing analytical, communication, leadership, and critical-thinking skills through cross-functional collaboration and networking.

Participate in HKEX’s 10-week summer internship, gaining practical experience through technology projects across application engineering, emerging systems, risk and markets systems, data, information security, process controls, and infrastructure operations. Interns will develop technical, analytical, communication, and collaboration skills while working alongside professionals in Hong Kong’s financial markets.

HKEX’s 10-week summer internship offers penultimate-year students hands-on experience across financial markets, finance, strategy, HR, legal, listing, markets, operations, technology risk, sustainability, and related teams. Interns receive tailored learning, networking, and project exposure while developing analytical, communication, problem-solving, and commercial skills. High-performing interns may be considered for return offers or the graduate associate programme.

Validates financial risk and pricing models, develops challenger models, monitors model performance, and maintains the risk model library. The role also manages model risk governance, prepares technical validation reports and senior management briefings, and supports the organization’s model risk management framework. Strong quantitative analysis, Python and SQL programming, Power BI experience, and knowledge of regulatory requirements for model risk or clearing are required.

Designs, develops, tests, deploys, and supports software applications and highly available distributed services. Collaborates with analysts, product owners, architects, QA, and project teams on solution design, estimation, documentation, and delivery. Promotes DevSecOps, automated testing, code quality, and CI/CD practices; provides technical guidance and mentoring; investigates production incidents through third-line support and an out-of-hours rota.

Design and govern enterprise data models, metadata, and data warehouse architectures. Support ETL/ELT pipeline design, cloud DW migration, data quality, lineage, and AI/ML readiness. Collaborate with engineers, analysts, and business teams to enable analytics and machine-learning workloads.

Oversee regulatory reporting, management reports, dashboards, and reporting controls for trading operations. Validate data, perform reconciliations, strengthen control frameworks, and improve reporting accuracy and compliance. Partner with business, technology, and data teams to automate manual processes, optimize workflows, enhance data quality, and reduce operational risk.

Leads test automation strategy, framework development, and quality engineering for trading, clearing, and risk management applications. Develops reusable automation solutions using tools such as Selenium, Cucumber, and Ruby; establishes testing standards and governance; and applies AI-assisted methods for test generation, data creation, defect analysis, regression optimization, and maintenance. Provides technical leadership, mentoring, troubleshooting, and cross-functional collaboration to improve quality, testing coverage, and delivery efficiency.

Leads outsourced Level 1 helpdesk and Level 2 desktop support, governing vendor SLAs, KPIs, service quality, escalations, and operational risks. Owns ITSM practices, ServiceNow data, incident and problem management, continual improvement, service transformation, technical support readiness, VIP and executive support, and risk and control requirements. Manages vendor resources, coordinates internal technical teams, improves user satisfaction and service reliability, and supports audits in a regulated financial-services environment.

Supports EMIR, MiFID II, SFTR, and other regulatory reporting obligations for LME and LME Clear. Responsibilities include SQL-based reconciliations, regulatory data analysis, Python automation, reporting validation, UAT, root cause analysis, data lineage documentation, process controls, management information, stakeholder coordination, and issue resolution. The role also maintains procedures, static data, and reporting processes while identifying automation and continuous-improvement opportunities.

Support the end-to-end operational lifecycle of ETFs, including creation and redemption processing, payments, reconciliations, launches, onboarding, and regulatory compliance. Coordinate with stakeholders, validate agreements, deliver training, document procedures, manage testing and user acceptance, and improve workflows with technology teams and vendors. Identify risks, investigate exceptions, escalate issues, and contribute to process-enhancement initiatives.

Supports Workday HCM and Recruiting enhancements, HR system testing, process improvements, implementations, reporting, analytics, automation, and AI-enabled solutions. Partners with HR, Talent Acquisition, IT, data, and vendors to gather requirements, improve employee and recruiter experiences, protect sensitive data, maintain governance, and manage risks and dependencies.

Develop, maintain, and support Java-based post-trade derivatives clearing systems across the SDLC. Duties include requirement analysis, design, coding, automated testing, integration and UAT support, production incident resolution, performance tuning, documentation, deployment, and on-call/shift support.

Lead architecture and delivery of post-trade clearing, settlement and collateral systems. Manage developer teams, drive technical excellence across SDLC, ensure resilient high-throughput platforms, handle production support, incident management, and stakeholder coordination.

Support system migration and testing within Client Services Operations. Execute and verify test results, investigate issues with IT, assist external clients using HKEX portals, perform administrative tasks, and support ad-hoc projects. The role requires attention to detail, organization, prioritization, problem-solving, collaboration, and familiarity with financial services, securities, customer service, and Hong Kong or Mainland markets.

Supports enterprise data analytics and platform projects from initiation through deployment. Coordinates requirements, schedules, risks, vendors, and stakeholders while helping implement data ingestion, modeling, governance, access control, lineage, quality, visualization, and analytics capabilities. Collaborates with data engineering and business teams, applies Agile and SDLC practices, and helps deliver cloud and open-source data management solutions on time and within budget.

The Systems Analyst will develop a low latency testing infrastructure, create test harnesses, and integrate with engineering teams while focusing on performance metrics and automation strategies.

Lead strategic microstructure and Stock Connect initiatives for HKEX; drive market analysis, stakeholder engagement, project delivery, and build a high-performing team to enhance liquidity and market integrity.