Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

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.

Responsibilities

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

Requirements

Significant experience in Fraud Analytics, Financial Crime Analytics, Risk Analytics, or a related analytical discipline
Highly hands-on and enjoy working directly with data to solve complex business problems
Strong experience developing analytical solutions that drive measurable business outcomes
Ability to operate autonomously and influence stakeholders without relying on formal people leadership authority
Strong commercial acumen and can balance analytical rigor with practical business outcomes
Ability to 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
Experience partnering with business, risk, technology, and operations teams

Skills

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
Snowflake
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

Location

Australia

Work Type

Full-time

Experience Level

Senior Manager
Senior

Benefits

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

About the Company

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.