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This is an early-career analyst role for someone with strong quantitative ability and programming skills who wants to build capability in investment analytics,ÌýreportingÌýand attribution within a middle office environment.

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Based in Sydney or Melbourne, you will work closely with stakeholders across the business to support investment data, reporting and analysis needs. The role is designed to develop over time: initially supporting recurring BAU reporting and analytical processes under guidance, then taking ownership of defined reporting and analysis tasks as capability grows, and later contributing to automation,ÌýstandardisationÌýand process uplift.

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As the role matures, you will also helpÌýidentifyÌýand support the development of new reporting opportunities, analytical outputs and process enhancements that improve the quality,ÌýconsistencyÌýand scalability of investment insights across the business.

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Role ResponsibilitiesÌý

• Support the preparation and ongoing improvement of investment reports, with a focus on accuracy,ÌýconsistencyÌýandÌýtimelyÌýdelivery.Ìý
• Learn and document existing BAU reporting and analytical processes to improve repeatability,ÌýresilienceÌýand team coverage.Ìý
• Progressively take ownership of defined reporting, analysis and data tasks as knowledge and capability develop.Ìý
• AssistÌýin developing andÌýmaintainingÌýanalytical tools, datasets and reporting outputs used across the business.Ìý
• Contribute to automation and process improvement using Python,ÌýSQLÌýand centralised data sources.ÌýIdentifyÌýdata quality issues, manual processÌýinefficienciesÌýand opportunities to improve reporting workflows.Ìý
• Support analysis relating to portfolio,ÌýfundÌýand investment data for internal stakeholders.Ìý
• Work with stakeholders across the business to understand reporting requirements and deliver clear, consistent outputs.Ìý
• Contribute to testing, documentation and maintenance of reporting and analytics processes.Ìý
• Provide analytical support for ad hoc reporting and data requests under guidance from the broader team.Ìý
• Over time, support the development of new reporting outputs, analytical processes and investment insight capabilities as business needs evolve.Ìý

Key Skills and ExperienceÌý

Must-havesÌý

• Degree in Quantitative Finance, Data, Information Systems, Software Engineering, Mathematics,ÌýStatisticsÌýor a related field.Ìý
• Strong Python skills for data analysis,ÌýtransformationÌýor automation.Ìý
• Strong SQL skills for querying and working with structured datasets.Ìý
• Demonstrated quantitative problem-solving ability and strong attention to detail.Ìý
• Ability to communicate analysis clearly and work effectively with stakeholders.Ìý
• Foundational knowledge of finance or investments, with the aptitude to build deeper capability in attribution and related analytics.Ìý

Nice-to-havesÌý

• Exposure to financial services, assetÌýmanagementÌýor investment operations.Ìý
• Familiarity with portfolio reporting,ÌýattributionÌýor risk concepts.Ìý
• Experience improving manual reporting processes or spreadsheet-based workflows.Ìý
• Exposure to data visualisation or dashboarding tools.Ìý