Risk Data Engineer - Build Data Pipelines & Insights

Hong Kong Exchanges and Clearing Limited (HKEX); Hong Kong; On-site; HKD 600,000 - 760,000; Part time

Job summary

HKEX is transforming its risk data landscape. We seek a Risk Data Engineer to drive innovation on Big Data and Analytics Platforms, supporting Post-Trade and Operational Risk to deliver data pipelines for self-service BI.

The role requires 4+ years in data analytics or related fields, with strong SQL, Python, ETL, data warehousing, and statistical modeling skills. Collaboration across teams and a results‑oriented mindset are essential.

Qualifications

• 4+ years of experience in data analytics, BI engineering, data science or similar role.
• Experience in cross‑functional teams and adapting to a changing environment.
• Strong data analytics, statistics, and data-driven decision making.

Responsibilities

• Identify value-adding opportunities through data analytics and design suitable data solutions.
• Analyze large volumes of risk data using Big Data and Analytics Platform for BI queries.
• Innovate and drive new data concepts across the department.
• Collaborate with Chief Data Office to refine the risk data framework.
• Work with operations and business teams to enhance existing use cases.
• Optimize existing workflows to streamline processes.

Skills

Python

SQL

Data modeling

ETL development

Data warehousing

Statistical models

BRD FS preparation

Data analytics

VBA

Tools

VBA

Job description

HKEX is transforming its risk data landscape. We seek a Risk Data Engineer to drive innovation on Big Data and Analytics Platforms, supporting Post-Trade and Operational Risk to deliver data pipelines for self-service BI.

The role requires 4+ years in data analytics or related fields, with strong SQL, Python, ETL, data warehousing, and statistical modeling skills. Collaboration across teams and a results‑oriented mindset are essential.