Turn data into insight and innovation that drives commercial outcomes. Joining the Data Analytics team, you will work at the intersection of technology, analytics and markets, developing data-driven solutions that help Commodities and Global Markets identify opportunities, enhance decision-making and unlock value across a global business. Working directly alongside front-office teams, you will gain exposure to real-world challenges and contribute to cutting-edge initiatives spanning data science, machine learning and quantitative analytics.

We are a global financial services group operating in 30 markets with 57 years of unbroken profitability. At Macquarie, you're empowered to shape a career that is fulfilling and creates value. You will bring your insights and expertise to the task at hand and feel supported as you make your own kind of impact for a better future.

What role will you play?

As a Junior Developer / Analyst within the Data Analytics team, you will apply your technical expertise to develop analytical tools, data products and quantitative models that support business growth and enhance decision-making across Commodities and Global Markets. Working closely with traders and business stakeholders on the trading floor, you will transform complex data into actionable insights, contribute to machine learning and anomaly detection initiatives, and help build scalable solutions that improve the visibility and management of client opportunities and business performance. Leveraging a broad technology stack, you will collaborate with colleagues across the business to deliver innovative analytics capabilities while developing deep domain expertise in global markets and data-driven problem solving.

What you offer

• Experience with Python, SQL and other modern development technologies, with exposure to tools such as R, Docker, Git, GraphAPI, QuantLib, AI agent frameworks, Azure AI, Google Cloud Platform AI services and Power Automate
• Knowledge of data science, machine learning and data mining techniques, with an interest in applying analytical methods to solve complex business problems
• Understanding of quantitative modelling concepts, including anomaly detection and quantitative options pricing models, together with strong analytical and problem-solving skills
• Familiarity with physical and financial commodity markets, particularly oil trading markets, with an understanding of market dynamics, pricing drivers and commodities trading workflows
• Familiarity with database technologies, software development principles and working across Windows and Unix environments, combined with strong communication and interpersonal skills and the ability to learn new technologies quickly while collaborating effectively with technical and non-technical stakeholders alongside a degree in Computer Science or another quantitative discipline

We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply.

About Commodities and Global Markets

Commodities and Global Markets is a global business offering capital and financing, risk management, market access, physical execution and logistics solutions to its diverse client base across Commodities, Financial Markets and Asset Finance.

Inclusion at Macquarie

We are committed to providing a working environment that embraces diversity, equity, and inclusion. We encourage people from all backgrounds to apply regardless of their identity, including age, disability, neurodiversity, gender (including gender identity or expression), sexual orientation, marriage or civil partnership, pregnancy, parental status, race (including ethnic or national origin), religion or belief, or socio-economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process.

Our aim is to provide reasonable adjustments to individuals as required during the recruitment process and in the course of employment. If you require additional assistance, please let us know during the application process.