Senior Data Business Analyst - Trade Surveillance

About the role

Macquarie Group's Data Delivery team within its Risk Management Group partners with surveillance stakeholders, architects, engineers and data management colleagues to deliver data capabilities supporting trade and communication surveillance. This Senior Manager role provides experienced leadership and continuity across the surveillance data portfolio during a defined backfill period from January 2027 to January 2028.

Key responsibilities

• Lead complex surveillance data initiatives and act as a senior link between surveillance, data and technology teams
• Define and prioritise data workstreams and translate surveillance problems into functional and data requirements and delivery outcomes
• Engage senior stakeholders on regulatory and internally driven needs
• Oversee complex data analysis, data flows, pipeline uplift solutions and conceptual and logical data models
• Drive end-to-end delivery with engineering, architecture and data management teams
• Manage delivery risks, issues and dependencies, ensuring alignment with architecture, governance, data quality and lifecycle management principles
• Provide direction and guidance to analysts and maintain strong relationships across surveillance and wider enterprise teams

Required profile

• 10+ years' experience in business analysis, data analysis, data modelling, technical analysis or consulting in complex data delivery environments, ideally in banking, financial services, risk management or consulting
• Experience leading complex data workstreams and turning surveillance needs into requirements and measurable outcomes
• Proven end-to-end delivery across surveillance, business, engineering, architecture and data management teams, including stakeholder workshops and delivery governance
• Experience overseeing data analysis, modelling, data pipelines, process maps, data lineage and acceptance criteria
• Strong knowledge of financial products, trading, market data or regulatory risk; trade surveillance experience, especially SMARTS, is valuable
• Experience embedding change and improving processes; experience with JIRA is valuable

Required skills

• SQL, with exposure to Python and tools such as Starburst Presto, Alteryx or Dataiku beneficial
• Data architecture and management principles, including governance, data quality and lifecycle management
• Influence of senior stakeholders and coaching of analysts