Senior Manager Data Science - Fraud Analytics at Commonwealth Bank of Australia.
In this position, you will tackle intricate challenges through the application of data science and analytics. As part of one of the largest and most sophisticated data science teams in Australia, you will contribute to the development of data-driven models aimed at safeguarding our customers and combating financial crime.
Location: Sydney, Sydney Region Engagement: Full-time Team: Business Banking
What you'll do
Develop and implement advanced data science models to identify and mitigate fraudulent activities.
Collaborate with cross-functional teams to enhance fraud detection systems and improve customer protection measures.
Requirements
A minimum of 5 years of experience in data science or analytics, with a focus on fraud detection or risk management.
Proficiency in programming languages such as Python or R, and experience with machine learning frameworks.




Strong analytical skills and the ability to interpret complex data sets to inform decision-making.
A degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
Nice to have
Experience in the banking or financial services sector.
Familiarity with big data technologies such as Hadoop or Spark.
Skills & tools
Expertise in data visualization tools like Tableau or Power BI.
Knowledge of SQL for database management and querying.
Understanding of statistical analysis and predictive modeling techniques.
Practical notes
Candidates must be eligible to work in Australia.
The role may involve occasional travel for team collaboration and project meetings.
Benefits include market-competitive salary, professional development opportunities, and a supportive work environment.
Applications will be accepted until [insert deadline].
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📌 Senior Manager Data Science – Fraud Analytics (Sydney)
🏢 Commonwealth Bank Of Australia
📍 Sydney