Jobs at Hong Kong Exchanges

Manage the system development life cycle, lead internal teams, implement modern systems, ensure quality, and collaborate across departments.

Lead planning and delivery of large-scale cloud deployments and IT infrastructure projects. Manage workstreams, budgets, risks, stakeholders and vendors; optimize cloud financials; develop strategic and tactical plans; oversee change management, service transition, project KPIs and benefits realization in a large enterprise environment.

Lead the architecture and delivery of post-trade systems, manage development teams, ensure system resilience, and optimize performance across the software lifecycle.

Lead design, implementation, and maintenance of scalable data pipelines, data lakes/warehouses and integrations. Ensure data quality, monitoring, testing, and documentation. Liaise with stakeholders, run incident/root-cause analyses, evaluate solutions, and enforce engineering and governance standards across teams.

Lead architecture and delivery of high-availability post-trade systems (clearing, settlement, collateral). Manage development teams, own SDLC delivery, enforce engineering standards, drive production support and incident management, and coordinate cross-functional stakeholders and vendors to deliver secure, resilient, scalable solutions.

Design, build, and modernise backend services, APIs and full-stack web experiences. Collaborate with product, operations and vendors to deliver observable, reliable production systems, apply CI/CD and testing practices, and support platform evolution and stakeholder engagement.

Support Trading Analytics Head in data operations: maintain pipelines, troubleshoot issues, migrate Python scripts, run incentive programme processes, respond to client enquiries, produce revenue reporting, maintain documentation, contribute to risk and volume publication activities, and collaborate with IT and trading stakeholders.

Handle derivatives client enquiries; manage client onboarding, technical testing and daily derivatives operations; maintain client databases and billing; support device/website updates; collaborate on rollouts and UAT; identify process improvement and automation opportunities.

Lead planning and delivery of large-scale cloud deployments, manage sub-tracks, budgets, risks and vendors, optimize cloud financials, coordinate cross-functional teams, implement service transitions, and ensure project governance, change control and stakeholder alignment.

Support and monitor the derivatives trading platform: analyze KPIs, perform impact analysis, produce test plans/cases, execute testing, investigate and resolve issues, and collaborate with IT and business stakeholders for implementations.

Support planning and delivery of data analytics and enterprise data platform projects. Coordinate stakeholders and vendors, track risks/schedules, implement data governance, data management, and cloud/open-source capabilities, and collaborate with data engineering to enable data ingestion, modelling, lineage, quality and visualization.

Lead end-to-end delivery of data analytics projects to build the Enterprise Data Platform, collaborate with stakeholders to prioritize requirements, manage scope/schedule/cost and risks, ensure data governance (access control, lineage, quality), coordinate vendors and internal teams, implement cloud and open-source solutions, and apply hybrid Agile/SDLC project management.

Lead the design, build, and implementation of a derivatives platform while managing system lifecycle and ensuring adherence to IT standards.

Design, build, and maintain Java-based microservices and APIs for a cloud-native clearing platform replacement. Implement event-driven Kafka solutions, deploy containerised apps on OpenShift/Kubernetes, support CI/CD, testing, observability, and production troubleshooting while collaborating with architects and stakeholders to modernise clearing systems.

Build and maintain scalable data pipelines, data lakes/warehouses, and integrations for LME. Implement data validation, monitoring, testing, and incident root-cause analysis. Collaborate with ETL and technology teams on design, deployment, automation, and reporting to ensure data quality and regulatory compliance.

Lead application engineering for market systems: design architectures, manage development teams and projects, produce specifications and test plans, collaborate with business/tech stakeholders, provide production and out-of-hours support, drive technical excellence, assess and mitigate technology risks, and ensure compliance with policies and best practices.

The Associate, HR Business Partner role involves supporting HR services, implementing HR initiatives, preparing reports, and participating in HR projects to enhance processes.

Support and monitor the trading platform's health, manage system changes, conduct testing, and collaborate with various stakeholders for project success.

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.

The role involves enhancing the matching engine's technical stack, focusing on low latency tuning, high throughput messaging, and automated testing frameworks.