Investment Operations and Data Analyst - Python & SQL

Role and Company Overview
Our client is a market-leading Australian investment manager with a strong presence in the rapidly growing ETF market. They’re looking to appoint an Investment Operations Analyst to join their Sydney team in a permanent, full-time position.

This is a graduate to early-career opportunity for an academically strong, technically minded problem solver interested in the intersection of finance, technology and investment operations. In this team, you’ll gain exposure to the complete ETF trade lifecycle, including portfolio operations, settlements, reconciliations and trading workflows. You’ll also contribute to new product launches, API integrations, data-validation frameworks and technology-led process improvements.

Intellectual curiosity and coding capability are valued above extensive industry experience, with remuneration based on experience.

Key Responsibilities

• Support the end-to-end ETF trade lifecycle, including trade capture, settlement, corporate actions, creations, redemptions and reporting
• Perform daily cash, holdings and transaction reconciliations, maintaining a high standard of data integrity and accuracy
• Use Python, SQL and other analytical tools to manipulate data, automate repetitive tasks and reduce manual processing
• Investigate trade, reconciliation and market-related issues, identify root causes and implement practical solutions
• Partner with technology and data teams to develop, test and implement automation, API and data-validation solutions
• Contribute to new ETF launches, system enhancements, operational documentation and broader process-improvement projects

Skills and Experience

• A bachelor’s degree with a strong academic record in a quantitative discipline such as Mechanical Engineering, Computer Science, Data Science, Mathematics, Economics or Finance
• A high-achieving graduate or professional with up to five years’ experience in investment operations, fund administration, financial technology, trading operations or data analytics
• Practical Python and SQL skills, with experience in data manipulation, analysis, automation and reporting
• Strong analytical reasoning, attention to detail and a structured approach to solving complex problems
• A genuine interest in financial markets, ETFs, investments and trading; exposure to APIs, automation, AI or machine learning is highly advantageous
• Clear communication skills, intellectual curiosity and the ability to collaborate with technical and non-technical stakeholders

Benefits for You

• Join a fast-growing, market-leading investment management business
• Apply your Python, SQL and data skills to commercially meaningful problems
• Build practical expertise across ETFs, trading, investment operations and financial markets
• Work alongside experienced finance, investment, technology and quantitative professionals
• Receive comprehensive training, structured mentorship and strong long-term career development

To apply, please submit your resume or contact Francesca Mackenzie on 0482070036 or [email protected] for a confidential discussion.