Remediation Data Analyst

Macquarie Group; Sydney; On-site; AUD 90,000 - 130,000; Full time

Benefits offered by this job

Wellbeing leave day per year

Parental leave up to 20 weeks

Volunteer leave and donation matching

Flexible working arrangements

Job summary

Macquarie Group’s Remediation Data Analytics team delivers remediation programs and control reporting across Banking and Financial Services. Partnering with Product and Data teams, you will analyze data to determine customer compensation for errors and incorrect charges, while designing reports to detect and prevent recurrence.

You will work across multiple product areas, identify impacted populations, calculate compensation, and develop ongoing risk visibility through SQL, Python, and AI tools,

Qualifications

• Proven experience in data or analytics.
• Strong SQL and Python skills for large datasets.
• Active user of AI tools to accelerate analysis.
• Excellent communication and stakeholder management.
• Willingness to learn about financial products.
• Collaborative and adaptable mindset.
• Remediation experience in financial services is a plus.

Responsibilities

• Analyse remediation initiatives across Banking and Financial Services.
• Identify impacted customer populations and calculate compensation.
• Prepare accurate, well‑documented remediation outputs.
• Develop control reporting for ongoing visibility of risks.
• Partner with stakeholders across product areas and levels.
• Translate complex problems into actionable solutions using SQL, Python, and AI tools.

Skills

Data analytics

SQL

Python

AI tools

Curious mindset

Stakeholder management

Communication

Collaboration

Financial services knowledge

Tools

Copilot

Claude

Gemini

Job description

Our Remediation Data Analytics team helps to deliver remediation programs and control reporting across Banking and Financial Services. Partnering closely with Product and other Data teams, we perform the analysis and calculations behind accurate customer compensation for errors and incorrect charges, while designing and implementing exception and monitoring reports that detect and prevent recurrence.

We are open to considering candidates on either a permanent or contract basis.

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?

You will work on a diverse range of remediation initiatives, each presenting its own unique challenges, customer scenarios, edge cases, and datasets to analyse. Working across multiple Banking and Financial Services product areas, you will combine commercial judgement with technical rigour to deliver positive customer outcomes. You will identify impacted customer populations, calculate compensation, and prepare accurate, well-documented remediation outputs. In addition, you will develop control reporting that provides ongoing visibility of risks and issues, while partnering with stakeholders across different product areas and seniority levels to understand product mechanics and translate complex, ambiguous problems into clear and actionable solutions. Leveraging SQL, Python, and AI tools where appropriate, you will explore data, automate analysis, and drive continuous improvements in the efficiency and effectiveness of remediation processes.

What You Offer

• Proven experience in data or analytics
• Well-versed in SQL and Python, with the ability to work confidently and efficiently across large, complex datasets
• Active user of AI tools (e.g. Copilot, Claude, Gemini) to accelerate analysis and day-to-day work
• Demonstrate a curious and detail-oriented mindset, with a strong desire to investigate anomalies, uncover root causes, and translate insights into actionable outcomes.
• Willingness to learn about different financial products and combine analytical output with commercial thinking to reach practical outcomes
• Excellent communication and stakeholder management skills
• A collaborative and adaptable mindset, with the ability to work through ambiguity, challenge constructively and build trusted relationships across teams
• Experience in financial services or remediations is a plus but not essential.

What We Offer

Benefits

• 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

About Banking and Financial Services

Banking and Financial Services is our technology-driven retail bank. You will be part of a team that supports clients to achieve their full potential - whether that’s buying a home, growing a business or investing to manage wealth.

Inclusion at Macquarie

We are committed to providing an inclusive environment for all, where different experiences, skills and perspectives are valued and respected. Macquarie provides access to opportunities for all individuals regardless of race, colour, religion, sex, sexual orientation, national origin, age, disability, protected veteran status, genetic information, marital status, gender identity or any other characteristic or circumstance.

We provide reasonable adjustments to individuals who may need support during the recruitment process and employment. If you require an adjustment, please let us know during the application process.