Senior Manager - Fraud Analytics

Commonwealth Bank of Australia is hiring a Senior Manager - Fraud Analytics. Level rates it ; you can apply on Commonwealth Bank of Australia.

Level's read on this job

On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
The posting mentions machine learning, statistical modelling and fraud analytics among its tools and skills.
Level classes it as a senior role.
Commonwealth Bank of Australia has 201 other open roles on Level.
Posted in the last few days.

AI in this role

Develop advanced machine learning models and analytical solutions to detect and prevent application fraud.

machine-learningstatistical-modellingfraud-analyticsfeature-engineeringdata-science

Shape advanced fraud analytics solutions that protect Business Banking customers.
Solve complex application fraud challenges using large-scale data, statistical modelling and machine learning.
Influence fraud strategy in a senior, hands-on specialist role.

Do work that matters

Business Banking supports small-to-medium enterprises, mid-market organisations, and regional and agribusiness customers with financial services and solutions that help them pursue their ambitions.

Within Business Lending, we are strengthening fraud prevention, improving decision-making and protecting customers through advanced analytics and data-driven insights. As fraud threats evolve, we are investing in scalable analytical solutions that enhance detection, improve operational effectiveness and support better customer outcomes.

As Senior Manager, Fraud Analytics, you will tackle complex application fraud challenges and help shape the future of fraud analytics across Business Banking.

See yourself in our team

Be part of a team that’s passionate about helping Australian businesses succeed. In CommBank’s Business Banking team, you’ll partner with others to support customers’ ambitions, backed by market-leading technology, a collaborative culture and opportunities to grow your career.

You will partner closely with stakeholders across Business Banking, Risk, Financial Crime, Operations and Data Science to identify fraud risks, develop analytical solutions and drive meaningful improvements in fraud detection capability.

Working alongside other senior specialists, you will help strengthen our fraud analytics capability by applying modern analytical techniques, data science methods and large-scale data assets to address evolving fraud challenges.

Your impact

You will:

Develop and enhance analytical models and strategies for detecting application fraud.
Analyse large-scale datasets to identify emerging fraud trends, risks and opportunities.
Deliver insights that support fraud prevention, detection and investigation outcomes.
Translate complex analytical findings into clear, commercially grounded recommendations.
Partner across business, risk, technology, operations and data science teams to solve complex problems.
Apply feature engineering, model optimisation, experimentation and performance monitoring techniques.
Contribute to the continued evolution of fraud analytics and decisioning capability.
Provide technical leadership and subject matter expertise across the fraud analytics domain.

We’re interested in hearing from people who

Bring substantial experience in fraud analytics, financial crime analytics, risk analytics or a closely related discipline.
Enjoy hands-on analysis and can take an ambiguous problem through to a well-supported recommendation.
Have developed analytical solutions that deliver measurable business outcomes.
Can operate autonomously and influence stakeholders without relying on formal people leadership authority.
Balance analytical rigour with commercial judgement and practical delivery.
Communicate complex technical concepts clearly to technical and non-technical audiences.
Have experience partnering with business, risk, technology and operations teams.
Thrive in ambiguous environments and enjoy building new analytical capabilities.

Technical skills

We work across a broad range of analytics and data science tools and technologies. Experience in several of the following will be advantageous:

Advanced Python programming and analytics development.
Statistical modelling and machine learning techniques.
Fraud detection and risk modelling approaches.
Large-scale data analysis and analytical solution design.
Data visualisation and storytelling with data.
Feature engineering, model optimisation and performance monitoring.
Experimentation, hypothesis testing and analytical problem-solving.
Experience working with fraud, financial crime, credit risk or decisioning frameworks.
Experience working with Snowflake.

Working with us

Whether you’re passionate about customer service, driven by data, or inspired by creativity, a career with CommBank is for you. We support flexible ways of working, including hybrid work, part-time opportunities, job sharing and flexible start and finish times.

At CommBank, growth is connected to real impact: developing new skills, belonging to a collaborative community and helping shape what comes next for customers and the communities we serve.

If you are motivated by complex analytical challenges and the opportunity to help protect Australian businesses, apply today.

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.

We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696.

Advertising End Date: 10/11/2026

How we rate this

Senior Manager - Fraud Analytics at Commonwealth Bank of Australia rates 80 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Manager - Fraud Analytics is an open job at Commonwealth Bank of Australia.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Sydney CBD Area.
The job was posted on October 28, 2026.
Seniority: senior.
Applications are handled by Commonwealth Bank of Australia. Apply on Commonwealth Bank of Australia

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Machine learningStatistical ModellingFraud AnalyticsFeature EngineeringData Science

Questions you could be asked

Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where statistical modelling was part of your work. What did you do?
Tell me about a project where fraud analytics was part of your work. What did you do?
Tell me about a project where feature engineering was part of your work. What did you do?
Tell me about a project where data science was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Machine learning, Statistical Modelling, Fraud Analytics, Feature Engineering, and Data Science. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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