Senior Data Scientist - Risk Management at Commonwealth Bank of Australia.
About the role Join a newly established team within Risk Management that is dedicated to validating advanced financial crime models. As the bank shifts from traditional rule-based systems to innovative machine learning and generative AI methodologies, your expertise will be crucial. This position offers a chance to develop in-depth knowledge in a critical regulatory environment, with potential to expand into broader model validation and future AI initiatives.
Key facts
Location: Sydney, Sydney Region Engagement: Full-time Team: Risk Management
What you'll do
Validate and assess the effectiveness of next-generation financial crime models.
Collaborate with cross-functional teams to enhance model performance and compliance.
Requirements
A master's degree or higher in a quantitative field such as statistics, mathematics, or computer science.
At least 5 years of experience in data science or a related field,



with a focus on model validation.
Proficiency in programming languages such as Python or R, and familiarity with machine learning frameworks.
Solid understanding of financial crime regulations and compliance requirements.
Nice to have
Experience with generative AI technologies.
Knowledge of cloud platforms like AWS or Azure.
Skills & tools
Expertise in statistical analysis and data visualization tools.
Familiarity with SQL and database management systems.
Ability to communicate complex concepts to non-technical stakeholders.
Practical notes
Visa sponsorship is available for qualified candidates.
Competitive salary package commensurate with experience.
Benefits include health insurance, retirement plans, and professional development opportunities.
Applications will be accepted until [insert deadline].
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📌 Senior Data Scientist – Risk Management (Sydney)
🏢 Commonwealth Bank Of Australia
📍 Sydney