Senior Data Engineer / Data Analyst – Wholesale Banking

We are seeking an experienced Senior Data Engineer / Data Analyst to support regulatory reporting, risk, and analytics initiatives across Wholesale Banking.

Key Responsibilities

- Analyse existing ETL processes, data flows, and transformations across Wholesale Banking data environments.
- Conduct gap analysis to identify data quality, lineage, transformation, and sourcing requirements.
- Support key use cases across:
Finance Regulatory Reporting
Credit Risk Regulatory Reporting
Market Risk Portfolio Replication
- Design and implement ETL enhancements to address data and reporting gaps.
- Collaborate with business, risk, finance, and technology stakeholders to deliver trusted data solutions.
- Assess and enable additional data and analytics requirements across Wholesale Banking functions.





Skills & Experience

- Proven experience in Data Engineering, ETL Development, or Data Analysis.
- Robust SQL and data mapping skills.
- Experience with data lineage, data quality, and data governance concepts.
- Exposure to regulatory reporting, finance, credit risk, or market risk data.
- Strong stakeholder management and communication skills.
- Banking or Financial Services experience, preferably within Wholesale Banking.

This is an excellent opportunity to contribute to strategic data initiatives that support critical regulatory, risk, and business outcomes.

For more information please contact Tim Moynihan at [email protected]

📌 Data Analyst / Engineer - Wholesale Banking (Sydney)
🏢 Enterprise IT Resources
📍 Sydney