Verified Job
Accounting - Finance
Senior Manager - Fraud Analytics
Accounting - Finance
#762667
Remote / WFH
Commonwealth Bank
Job Description
Senior Manager – Fraud Analytics
Do work that matters
Business Banking manages relationships with small-to-medium enterprise customers, mid-market corporate customers and regional and agribusiness clients, delivering a wide range of financial services and solutions.
Within Business Lending, we are focused on strengthening fraud prevention, improving decision-making and protecting our customers through advanced analytics and data-driven insights.
As fraud threats become increasingly sophisticated, we're investing in our analytics capability to build scalable solutions that enhance fraud detection, improve operational effectiveness and support better customer outcomes.
This is an opportunity to join a team tackling complex fraud challenges and shaping the future of fraud analytics across Business Banking.
See yourself in our team
As a Senior Manager – Fraud Analytics, you will be a senior individual contributor responsible for designing, developing and implementing advanced analytics solutions to detect, prevent and respond to application fraud.
This is a highly hands-on role suited to an experienced analytics professional who enjoys solving complex problems, working directly with data and influencing business outcomes through actionable insights.
You will partner closely with stakeholders across Business Banking, Risk, Financial Crime, Operations and Data Science teams to identify fraud risks, develop analytical solutions and drive meaningful improvements in fraud detection capability.
Working alongside other senior specialists, you will help uplift fraud analytics capability by leveraging modern analytical techniques, data science methods and large-scale data assets to address evolving fraud challenges.
Key responsibilities include:
Developing and enhancing fraud analytics models and strategies
Identifying emerging fraud trends, risks and opportunities through data analysis
Delivering insights that support fraud detection, prevention and investigation outcomes
Collaborating with cross-functional stakeholders to solve business problems using data
Translating complex analytical findings into practical business recommendations
Contributing to the ongoing evolution of fraud analytics and decisioning capability
Providing technical leadership and subject matter expertise within the fraud analytics domain
We're interested in hearing from people who:
Have significant experience in Fraud Analytics, Financial Crime Analytics, Risk Analytics or a related analytical discipline
Are highly hands-on and enjoy working directly with data to solve complex business problems
Have strong experience developing analytical solutions that drive measurable business outcomes
Can operate autonomously and influence stakeholders without relying on formal people leadership authority
Have strong commercial acumen and can balance analytical rigour with practical business outcomes
Can communicate complex technical concepts clearly to both technical and non-technical audiences
Thrive in ambiguous environments and enjoy building new capabilities from the ground up
Have experience partnering with business, risk, technology and operations teams
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 – Experience with Snowflake advantageous
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
Why join us
Solve complex fraud challenges with real customer impact
Work alongside experienced Data Science and Analytics practitioners
Influence strategic fraud decisions through advanced analytics
Join one of Australia's leading analytics and data science communities
Build innovative solutions that help protect customers and prevent financial crime
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: 15/08/2026
Do work that matters
Business Banking manages relationships with small-to-medium enterprise customers, mid-market corporate customers and regional and agribusiness clients, delivering a wide range of financial services and solutions.
Within Business Lending, we are focused on strengthening fraud prevention, improving decision-making and protecting our customers through advanced analytics and data-driven insights.
As fraud threats become increasingly sophisticated, we're investing in our analytics capability to build scalable solutions that enhance fraud detection, improve operational effectiveness and support better customer outcomes.
This is an opportunity to join a team tackling complex fraud challenges and shaping the future of fraud analytics across Business Banking.
See yourself in our team
As a Senior Manager – Fraud Analytics, you will be a senior individual contributor responsible for designing, developing and implementing advanced analytics solutions to detect, prevent and respond to application fraud.
This is a highly hands-on role suited to an experienced analytics professional who enjoys solving complex problems, working directly with data and influencing business outcomes through actionable insights.
You will partner closely with stakeholders across Business Banking, Risk, Financial Crime, Operations and Data Science teams to identify fraud risks, develop analytical solutions and drive meaningful improvements in fraud detection capability.
Working alongside other senior specialists, you will help uplift fraud analytics capability by leveraging modern analytical techniques, data science methods and large-scale data assets to address evolving fraud challenges.
Key responsibilities include:
Developing and enhancing fraud analytics models and strategies
Identifying emerging fraud trends, risks and opportunities through data analysis
Delivering insights that support fraud detection, prevention and investigation outcomes
Collaborating with cross-functional stakeholders to solve business problems using data
Translating complex analytical findings into practical business recommendations
Contributing to the ongoing evolution of fraud analytics and decisioning capability
Providing technical leadership and subject matter expertise within the fraud analytics domain
We're interested in hearing from people who:
Have significant experience in Fraud Analytics, Financial Crime Analytics, Risk Analytics or a related analytical discipline
Are highly hands-on and enjoy working directly with data to solve complex business problems
Have strong experience developing analytical solutions that drive measurable business outcomes
Can operate autonomously and influence stakeholders without relying on formal people leadership authority
Have strong commercial acumen and can balance analytical rigour with practical business outcomes
Can communicate complex technical concepts clearly to both technical and non-technical audiences
Thrive in ambiguous environments and enjoy building new capabilities from the ground up
Have experience partnering with business, risk, technology and operations teams
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 – Experience with Snowflake advantageous
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
Why join us
Solve complex fraud challenges with real customer impact
Work alongside experienced Data Science and Analytics practitioners
Influence strategic fraud decisions through advanced analytics
Join one of Australia's leading analytics and data science communities
Build innovative solutions that help protect customers and prevent financial crime
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: 15/08/2026
