Background information about the job or company

Join our Commodity Markets and Finance team. You will play a key role in expanding AI capabilities across commodities trading including but not limited to data analysis, pre-trade and post-trade workflows, improved decision-making, efficiency, and control.

At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 31 markets and with 56 years of unbroken profitability. You’ll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes.

Responsibilities or duties

You will support trading and financial data processes across areas including trade capture, P&L, risk reporting, and operational controls. You will identify opportunities to apply AI and improve data quality, streamline workflows, and generate better insight from trading and financial data. You will work closely with business stakeholders and technology teams, contribute to use case development and support the delivery of practical solutions. You will also support improvements across data validation, reconciliations, exception management, and other control processes, while helping expand the use of AI across the function.

Qualifications or requirements

A strong technical mindset, with curiosity and a willingness to learn

Experience working with data in a business-facing role, ideally within trading, financial markets, or a similarly data-rich environment

The ability to break down complex problems in a structured way and deliver high-quality outputs

Exposure to, or a strong interest in, applying AI, machine learning, or data-driven approaches to business problems

Excellent communication skills

Strong stakeholder management skills, with the ability to work effectively across business and technology teams.

Any other provided details

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.

What we offer

At Macquarie, you’re empowered to shape a career that’s rewarding in all the ways that matter most to you. Macquarie employees can access a wide range of benefits which, depending on employment type, include:

• 1 wellbeing leave day per year
• Up to 5 additional service bonus leave days per year
• Up to 20 weeks’ paid parental leave for primary caregivers along with 12 days of transition leave upon return to work, and 6 weeks’ paid leave for non-primary caregivers
• 2 days of paid volunteer leave and donation matching
• Up to 12 months’ gender affirmation leave, including 6 weeks’ paid leave
• Access to Employee Assistance Program and wellbeing benefits including skin and health checks, and flu vaccinations
• Access to a wide range of salary packaging options
• Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription
• Hybrid and flexible working arrangements, dependent on role
• Reimbursement for work from home equipment

• Support trading and financial data processes across areas including trade capture, P&L, risk reporting, and operational controls.
• Identify opportunities to apply AI and improve data quality, streamline workflows, and generate better insight from trading and financial data.
• Work closely with business stakeholders and technology teams, contribute to use case development and support the delivery of practical solutions.
• Support improvements across data validation, reconciliations, exception management, and other control processes, while helping expand the use of AI across the function.

• Strong technical mindset, with curiosity and a willingness to learn
• Ability to break down complex problems in a structured way and deliver high-quality outputs
• Exposure to, or a strong interest in, applying AI, machine learning, or data-driven approaches to business problems
• Excellent communication skills
• Strong stakeholder management skills, with the ability to work effectively across business and technology teams.

• Experience working with data in a business-facing role, ideally within trading, financial markets, or a similarly data-rich environment