Our Fraud Detection and Analytics team at Macquarie Bank is dedicated to safeguarding our customers. Our team is at the forefront of fraud controls, governance, monitoring, and innovation, ensuring that we stay ahead of emerging threats and continuously enhance our fraud detection capabilities.
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 34 markets and with 55 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.
What role will you play?
As the Fraud Detection and Analytics Manager, you will lead the development and implementation of fraud detection strategies for Macquarie Bank’s Credit and Debit Card portfolio. Your role will be critical in mitigating financial crime risks by leveraging data analytics, machine learning, and advanced fraud detection technologies. You will work closely with cross-functional teams to identify, assess, and prevent fraudulent activities, ensuring Macquarie Bank maintains a secure and trusted financial environment.
Your key responsibilities will include developing and maintaining fraud detection frameworks and analytical tools, utilising advanced data techniques to improve fraud detection efficiency and reduce false positives, and collaborating with Risk, Compliance, Technology, and Operations teams to strengthen fraud prevention strategies. Additionally, you will monitor emerging fraud trends and implement proactive measures to mitigate evolving risks, develop and continuously monitor fraud-related dashboards, reports, and KPIs to track performance and mitigation effectiveness, enhance and optimize fraud detection systems through continuous testing, tuning, and improvement, and provide leadership in incident response, fraud investigations, and root cause analysis.

What you offer

• 4+ years of expertise in fraud detection, risk analytics, or financial crime management in the banking or financial services sector.
• Proficiency in data analytics, statistical modelling, and machine learning techniques.
• Experience with fraud detection tools, transaction monitoring systems, and coding languages such as Python, SQL, Tableau, and Power BI.
• An understanding of fraud typologies, risk assessment frameworks, and regulatory compliance requirements.
• Excellent problem-solving skills, with the ability to interpret complex data and provide actionable insights.
• Strong communication and stakeholder management skills, with experience working in cross-functional teams.
• Ability to mentor and support a high-performing team.
• Bachelor’s or Master’s degree in Data Analytics, Computer Science, Statistics, or a related field is desirable

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 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.
Benefits

Macquarie employees can access a wide range of benefits which, depending on eligibility criteria, include:

• Hybrid and flexible working arrangements
• One wellbeing leave day per year and up to five additional days leave based on length of service
• Up to 20 weeks paid parental leave as well as benefits to support you as you transition to life as a working parent
• Paid volunteer leave and donation matching
• Range of benefits to support your physical, psychological and financial wellbeing
• Access to a wide range of learning and development opportunities

Our commitment to diversity, equity and inclusion
We are committed to fostering a diverse, equitable and inclusive workplace. We encourage people from all backgrounds to apply and welcome all identities, including race, ethnicity, cultural identity, nationality, gender (including gender identity or expression), age, sexual orientation, marital or partnership status, parental, caregiving or family status, family and domestic violence status, neurodiversity, religion or belief, disability, 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. To learn more, contact our team by clicking here.
Our aim is to provide reasonable adjustments to individuals who may need support during the recruitment process and through working arrangements. If you require additional assistance, please let us know in the application process

Please refer the Job description for details