ANZ Banking Group Limited ANZ offers a range of personal banking services such as internet banking, bank accounts, credit cards, home loans, personal loans, travel and international, investment and insurance. Learn about easy and secure ways to manage your money. View company page
At ANZ our purpose is to shape a world where people and communities thrive. We're making this happen by improving the financial wellbeing and sustainability of our customers so they can achieve incredible things– whether they're buying a home, building a business or saving for things big or small.
Financial Crime Threat Management (FCTM) strives to protect our business and communities against financial crime threats. FCTM utilise customer data and intelligence to detect, investigate and escalate potentially suspicious activity such as money laundering, financing of terrorism, and activity involving sanctioned parties. FCTM specialists work within the Financial Crime Portfolio to support businesses across the group in complying with financial crime regulatory obligations.
The Machine Learning Engineer, Financial Crime Threat Management is critical to making this happen and will:
• Lead the adoption of MLOps practices, including CI/CD for machine learning models for Financial Crime Threat Management in compliance with ANZ's Cloud, Data Governance, Privacy, Information Security and other relevant policies and frameworks, applicable regulations and industry standards.
• Design and developIntegrate end-to-end automated pipelines to facilitate continuous experimentation (champion / challenger), training, testing, integration, deployment and monitoring of machine learning models and prediction serving.
• Implement continuous monitoring and evaluation of machine learning models in production.
• Ensure seamless model deployment and consistent performance across the transaction monitoring system.
• Define, establish and improve data and model management and governance practices across the MLOps lifecycle.
• Collaborate with Customer Monitoring & Detection squad members, Financial Crime Intelligence and Technology teams to understand complex financial crime data and model requirements.
• Maintain technical documentation for processes, workflows and configurations across the end-to-end MLOps lifecycle.
• Upskill squad members and others within project/delivery area to develop cloud skill and ensure ongoing delivery of effective cloud solutions.
Role Location: Melbourne
Schedule: Full Time
Role Type: 12 Months Fixed Term
What will you bring?To grow and be successful in the role, you will ideally bring the following:
• Bachelor's or Master's degree in Computer Science, Data Science, Data Engineering, or related fields
• Proven experience in MLOps roles, predictive analytics or data science with a focus on automation at scale.
• Expert in Python, SQL, and deployment on relevant data engineering toolscloud architectures (Google Cloud Platform, AWS).
• Proven experience with machine learning frameworks (e.g., Vertex AI, SageMaker).
• Familiarity with AML/CTF compliance requirements and transaction monitoring systems is a plus.
• Strong expertise in cloud platforms (e.g., GCP, AWS), containerisation (Docker, Kubernetes) and infrastructure-as-code (IaC) tools (e.g. Terraform, DBT).
• Outstanding problem-solving and analytical skills with attention to detail.
• Experience with data governance, model governance and compliance best practices.
You're not expected to have 100% of these skills. At ANZ a growth mindset is at the heart of our culture, so if you have most of these things in your toolbox, we'd love to hear from you.
So, why join us?There's something special about being part of ANZ. From the moment you join us, you're part of a team working towards a common goal: improving the financial wellbeing and sustainability of our millions of customers.
As a Purpose-led bank, we've committed to delivering commercial and societal outcomes across environmental sustainability, financial wellbeing and household affordability. We deliver these sustainability commitments with our customers, in our business and across the communities where we operate.
But it's not just our customers who'll feel your impact. You'll feel it too. Because at ANZ, you'll have the resources and community you need to take the next big step in your career, towards even bigger things in the future.
We offer a range of benefits tailored to the countries in which we operate including Health and Wellbeing programs and flexible working arrangements.
You'll also enjoy working in a diverse and inclusive workplace where the different backgrounds, perspectives and life experiences of our people are celebrated. We encourage you to talk to us about any adjustments you may require to our recruitment process or the role itself. If you are a candidate with a disability, let us know how we can provide you with additional support.
To find out more about working at ANZ or to view other opportunities visit You may apply for this role by visiting ANZ Careers and searching for reference number 66268.
Job Posting End DateExplore more InfoSec / Cybersecurity career opportunitiesFind even more open roles in Ethical Hacking, Pen Testing, Security Engineering, Threat Research, Vulnerability Management, Cryptography, Digital Forensics and Cyber Security in general - ordered by popularity of job title or skills, toolset and products used - below.
#J-18808-Ljbffr
