Teams at Hong Kong Exchanges

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.

Lead the design and development of a strategic, scalable data platform for high-volume trading data. Build data lakehouse, streaming, warehouse, metadata, lineage, and self-service capabilities using modern distributed technologies. Drive platform performance, reliability, security, regulatory compliance, cloud-native engineering, and infrastructure automation. Influence technology strategy across trading, data, and platform engineering while providing technical leadership and enabling teams to deliver data-intensive solutions efficiently.