Senior Fraud Analyst

Do work that matters

The Fraud Data Analytics team, part of the Chief Data and Analytics Office, maintains the fraud detection logic for the Group. Our team supports the operations of Group Fraud Management Services who are devoted to protecting the monetary assets from fraud and financial loss of CBA and Bankwest customers.

See yourself in our team

We are a community of analysts who use data to develop and enhance the Group’s fraud detection systems, algorithms, and reporting engines. Our team’s diverse backgrounds means we can draw on one another’s experience to deliver to best work outcomes. We are committed to safe-guarding our customers from financial fraud and scams. Our analytics run on Australia’s largest real-time transaction monitoring system, handling millions of transactions per day.

Key functions of Fraud Analytics include:

• Maintaining the Group’s fraud detection algorithms through intelligent automation.

• Identify emerging fraud trends and using  these insights to improve fraud detection

• Developing models on fraud behaviour.

• Reporting fraud losses across the Group’s products and channels.

Your responsibilities

• Make continual improvements to detection system through automation, new capability, and better detection model.

• Provide insights into trends and anomalies, including retrospect analysis of unusual events.

• Provide fraud guidance on group-led initiatives and projects

• Build effective working relationships within stakeholders and technology partners.

• Manage potentially difficult interactions ensuring the appropriate priority or severity level is assigned

We’re interested in hearing from people who have

• Intermediate to advanced level of programming language (Python, SQL)

• An analytical mindset with the ability to solve problems in creative ways

• Ability to understand fraudster behaviour and psychology

• Proactively raise and propose practical actions to address upcoming fraud trends with tangible outcomes

• Ability to collaborate effectively within the analytics community and stakeholders

• A degree in a quantitative discipline such as mathematics, statistics, computing, science, engineering or actuarial studies.

• Prior experience with data engineering and pipeline management tools highly regarded (Snowflake, dbt Core, Airflow)

• Experience with developing and deploying machine learning models and performing feature engineering to enhance fraud detection algorithms

• Data pipeline experience desirable

Working with us

We support our people with at least half your time each month connecting in the Sydney office, allowing for flexibility in the remaining time.

We have many other flexible working options available including changing start and finish times. Talk to us about how these arrangements might work for you.

If this sounds like you, apply now!

If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career.

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